http://q-cofa-wiki.paasp.net/api.php?action=feedcontributions&user=Bjoern+Gerlach&feedformat=atomQ-CoFa - User contributions [en]2024-03-29T12:51:04ZUser contributionsMediaWiki 1.31.0http://q-cofa-wiki.paasp.net/index.php?title=Publication:_Recommendations&diff=861Publication: Recommendations2021-04-15T14:22:10Z<p>Bjoern Gerlach: </p>
<hr />
<div>Provide detailed information for writing the “materials & methods” section of a publication (or thesis) so that experiments can be replicated. Do not write the method was “as previously described” if you made small changes. You can upload your step-by-step protocol in a repository (for example https://www.protocols.io).<br />
<br />
Instruct the users that they should '''inform''' the CF before submitting a manuscript containing data acquired at the CF. The CF should be given the possibility to check the relevant sections and validate the corresponding figures before publication. This is the last opportunity for the CF to '''check''' data quality. Over 90% of CFs believe that the quality of published data would improve if they were involved:<br />
* “ensures correct understanding and an accurate account of what happened.”<br />
* “[CF] can view the data unbiased”.<br />
* “It is the policy of our institute that all data generated through platforms is checked by the platform staff/head before publication”.<br />
<br />
'''Other recommendations'''<br />
<br />
* Guidelines from RMS:<br />
<br />
:: The guiding principles on acknowledging and co-authoring CF by the Royal Microscopical Society is supplemented with a template for contracts clarifying the relationship between CF and research unit [https://www.rms.org.uk/resources-downloads/core-facilities-publication-policy.html]: [[:File:RMS_publication_policy.docx|RMS CFs publication policy]].<br />
<br />
* Guidelines from ABRF: [[:File:ABRF_Guidelines_for_authorship.pdf|ABRF Guidelines for authorship]].<br />
<br />
* [[https://eqipd-toolbox.paasp.net/wiki/2.4.2_Publication EQIPD Recommendations on publication]] <br />
<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Raw_data_acquisition:_Recommendations&diff=860Raw data acquisition: Recommendations2021-04-15T13:23:39Z<p>Bjoern Gerlach: </p>
<hr />
<div>Provide written [[SOPs: Recommendations|'''SOPs''']] and protocols (can be uploaded in protocol repositories like http://www.bio-protocol.org/ or http://www.protocols.io) for reproducibility and transparency. Protocol videos can also communicate '''tacit knowledge''' [https://pubmed.ncbi.nlm.nih.gov/28620458/]. Make clear which parts of the protocols can be modified and which ones cannot (and why).<br />
<br />
Provide '''guidance''' how to increase the quality and robustness of the research outcome (in person, in writing).<br />
<br />
Provide written instructions or supervision on how to operate each equipment, Write the name and phone number of the responsible person next to each equipment in case the user experiences a problem.<br />
<br />
Make sure the reagents were checked and the equipment is maintained and calibrated.<br />
<br />
Use common data standards (eg [[Current guidelines and norms#ALCOA|ALCOA]] or [[Current guidelines and norms#FAIR|FAIR]]) from your field. '''Uniform''' data (and metadata) allow compatibility and interoperability. They can be easily read, searched, compared, reused and interpreted by other labs. It facilitates metastudies [https://pubmed.ncbi.nlm.nih.gov/28620458/].<br />
<br />
Be available for '''troubleshooting''' (ideally, do not charge extra for it but include its cost in the basic fare).<br />
<br />
'''Links'''<br />
* Additional information on EQIPD site [https://eqipd-toolbox.paasp.net/wiki/2.3.1_Generation,_recording,_handling_and_archiving_of_raw_data Generation, recording, handling and archiving of raw data]<br />
<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Current_guidelines_and_norms&diff=859Current guidelines and norms2021-04-15T13:10:30Z<p>Bjoern Gerlach: /* EQIPD Quality System */</p>
<hr />
<div>==<span id="ISO"></span>ISO9001== <br />
ISO9001 is an international quality management standard to certify a generic quality system. The aim is the standardization of all processes in a given work environment to achieve customer satisfaction. This standard was launched in 1987 and has become the most accepted standard world-wide. It provides a general approach to quality control and quality assurance by focusing on the processes applied in a given organisation. All processes have to be defined, put into context, evaluated and improved according to a standardized process. The ultimate goal is the customer satisfaction which must also be evaluated. This general approach for achieving high quality standards is suitable for organisations with standardized processes, defined customers and no special quality requirements for a given environment. In fact, for many organisations, for example producers of medical products or automotive suppliers, additional standards apply.</br><br />
'''Background'''</br><br />
ISO (the International Organization for Standardization) is a worldwide federation of national standards bodies (ISO member bodies). The work of preparing International Standards is normally carried out through ISO technical committees. Each member body interested in a subject for which a technical committee has been established has the right to be represented on that committee. International organizations, governmental and non-governmental, in liaison with ISO, also take part in the work. ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization. Launched: 1987, 2915<br />
Procuring organizations needed a basis of contractual arrangements with their suppliers (i.e., basic requirements for a supplier to assure product quality)</br><br />
'''Target audience'''</br><br />
All the requirements of ISO 9001:2015 are generic and are intended to be applicable to any organization, regardless of its type or size, or the products and services it provides.<br />
A general QMS that can be applied to all aspects of organizations (not focused on biomedical research) </br><br />
'''Function'''</br><br />
Establishing the ISO9001 quality management system will standardize all processes in a given environment to achieve an output (product or service) with always the same quality. For this, the organizational overall performance is continuously improved to enhance customer satisfaction which is in the center of the norm. The improvement is achieved by a systematic use of the Denim-cycle, or PDCA-cycle which works in four steps: 1. Plan, 2. Do, 3. Check, 4. Act. The documentation of the processes and the improvement of them is a universal and powerful tool to achieve always the same output and learn from the mistakes.<br />
The downside of this approach is the requirement for detailed documentation of all actions and events which can be a challenge and too labor intensive for some environments. </br><br />
'''Conclusion'''</br><br />
The ISO9001 quality management system is appropriate for organisations wanting to provide products and services for their customers on a constant high level and who have the resources or can at least charge extra for the additional workload. Also, it seems to be easier adaptable in environments with standardised processes. In contrast, the system does not seem to be appropriate for organisations with high degrees of freedom in their processes, who lack resources and have very specific needs in respect for quality that cannot be defined by requirements of a specific customer.</br><br />
'''What can be taken from it?'''</br><br />
The ISO9001 norm follows a “process approach” meaning that all actions in an organisation should be described as processes. In short, a process describes what is the input for an action, how the action is performed and what is the output and should be documented in a way that a naïve person would be able to perform this process just with the document. Adapting just this approach of this standard can be very helpful for CF, especially for larger ones with more staff to unify processes. </br><br />
'''Links'''</br><br />
* https://www.iso.org/obp/ui/#iso:std:62085:en <br/> <br />
* https://www.iso.org/standard/62085.html <br />
<br />
<br />
==<span id="GLP"></span>Good Laboratory practice (GLP)==<br />
'''Background'''</br><br />
The Good Laboratory Practice (GLP) was established by the FDA and OECD in 1976 and 1981, respectively. It was as a reaction to an incident in a laboratory in the 1970ties submitting contradictory data to the FDA. The aim is to make documentation of experiments transparent, have clear organizational structures and responsibilities. </br><br />
'''Target audience'''</br><br />
The focus is on labs who perform non-clinical health and environmental safety studies upon which hazard assessments are based. </br><br />
'''Function'''</br><br />
GLP aims to improve the organizational process and the conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, archived and reported. Working under GLP should allow rigorous and detailed documentation of experiments to ensure the quality, integrity and reliability of data on the properties and/or safety of test items concerning human health and/or the environment. </br><br />
'''Conclusion'''</br><br />
GLP is appropriate for research labs having the requirement to work under GLP. The system increases documentation and transparency about research data and its creation. It does not make specific requirements in respect to robustness of data and is documentation intensive.</br><br />
'''What can be taken from it?'''</br><br />
Documentation tailored for research environment</br><br />
'''Links'''</br><br />
* https://www.who.int/tdr/publications/documents/glp-handbook.pdf<br />
* https://www.ich.org/page/efficacy-guidelines (E6 section)<br />
<br />
<br />
==<span id="EQIPD"></span>EQIPD Quality System==<br />
'''Background'''</br><br />
The biomedical research community (industry and academia) recognized the negative impact of lacking research rigor on the development of novel therapeutics, and the need for a comprehensive practical solution to help enhance preclinical data quality. For that reason, a project under the umbrella of the Innovative Medicine Initiative was dedicated to research data quality and to establish a quality system (QS) for research. </br><br />
'''Target audience'''</br><br />
The focus was on non-regulated preclinical biomedical research, however, the system can also be applied to any other natural science field. </br><br />
'''Function'''</br><br />
The EQIPD QS sets a standard to facilitate the generation of robust and reliable research data and thereby boost innovation. It consists of Core Requirements setting the foundation for data integrity and requiring very little documentation, except for the experiment itself. It also makes specific requirements for experiments intending a formal knowledge-claim. The system has a [https://eqipd-toolbox.paasp.net/wiki/EQIPD_for_Core_Facilities tailored approach for core facilities] which includes results from the Q-CoFa project.</br><br />
'''Conclusion'''</br><br />
The EQIPD QS is appropriate for research units with a focus on data quality and integrity. It requires little documentation and due to its specific focus on research cannot be applied to any environment.</br><br />
'''What can be taken from it?'''</br><br />
The EQIPD quality system describes aspects to protect against research biases that is not covered by any other systematic approach and could be seen helpful for most CFs. The tools and resources provided by this approach can be adapted on an “as-you-need-basis” for specific gaps within a research unit.</br><br />
'''Links'''</br><br />
* [https://osf.io/vduze/ Preprint of the manuscript on the EQIPD QS]<br />
* [https://eqipd-toolbox.paasp.net/wiki/EQIPD_Quality_System Website with practical information on the EQIPD QS]<br />
<br />
==<span id="Premier"></span>Premier==<br />
'''Background'''</br><br />
PREMIER stands for Predictiveness and Robustness through Modular Improvement of Experimental Research and was developed at the Institute for Experimental Pharmacology at the Charité – University Clinic Berlin. The group by Prof. Dirnagl is experienced in establishing quality procedures within academic research units and found that ISO9001 is not appropriate for such research units. Therefore, the research unit created their own quality system.</br><br />
'''Target audience'''</br><br />
Design, conduct, analysis and reporting of experiments in biomedical research.</br><br />
'''Function'''</br><br />
PREMIER is a conceptual framework of a modular QM system with low implementation threshold for research groups, departments or even institutions. It helps them to systematically improve the quality of their academic preclinical biomedical research. PREMIER provides modules (12 in total) with minimum requirements that can be adapted to the needs and resources of any organization / laboratory.<br />
PREMIER is designed both as a modular quality tool with four main building blocks: 1) Managing (Governance), 2) Planning and Implementing (Key Processes), 3) Supporting (Support Processes), 4) Measuring and Improving (Continuous Improvement). The implementation of all four building blocks renders the PREMIER a QM system.</br><br />
'''Conclusion'''</br><br />
PREMIER is a comprehensive quality system dedicated for research units. It describes the different aspects and focuses on data quality.</br><br />
'''What can be taken from it?'''</br><br />
The modular approach of the Premier System allows the easy and specific retrieval of information to tackle issues within a research lab. The PREMIER “House” provides an overview and easy access to the different topics.</br><br />
'''Links'''</br><br />
* https://premier-qms.org/ <br />
* https://premier-qms.org/premier<br />
<br />
<br />
==<span id="FAIR"></span>The FAIR Guiding Principles ==<br />
'''Background'''</br><br />
The FAIR Data Principles were drafted at a Lorentz Center workshop in Leiden in the Netherlands in 2015. These principles for data management and stewardship guidance to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. Their emphasis is on the meta data accompanying the experimental data for computational systems with none or minimal human intervention.</br><br />
'''Target audience'''</br><br />
The FAIR Data Principles apply to any scholarly data.</br><br />
'''Function'''</br><br />
The application of these four foundational principles—Findability, Accessibility, Interoperability, and Reusability— shall ensure that research data are useable for their lifetime by any person having access to the data. The four principles are subdivided into additional requirements describing several features applying to any data set.</br><br />
'''Conclusion'''</br><br />
The FAIR data principles provide an easy and important guidance on how to describe research data. They are important for any research lab and solely focus on the reusability of research data.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research data usable in the future. However, due to the specialisation of CF, it might be possible to see the “Interoperability” and “Accessibility” of research data as a focus for CF. For example, if the raw data are stored in a special data format that requires a unique software from a manufacturer, the CF could take over the responsibility to keep the different software versions available. This will allow accessibility of raw data in the future even if the program is not available anymore in the research unit or from the manufacturer.</br><br />
'''Links'''</br><br />
* https://www.nature.com/articles/sdata201618<br />
<br />
<br />
==<span id="TOP"></span>TOP-guidelines==<br />
'''Background'''</br><br />
The Guidelines for Transparency and Openness Promotion (TOP) in Journal Policies and Practices which are published by the Center for Open Science (COS) to promote openness in science, thereby improving reproducibility.</br><br />
'''Target audience'''</br><br />
Research data aimed to be published.</br><br />
'''Function'''</br><br />
The guidelines have a focus on the publication of research data by requesting full transparency about the research data and the standards that were applied to it. The important elements are the correct and comprehensiveness of the citations, a detailed description of the technical protocols as well as preregistration of the experiments. Especially the latter is in the focus of the Center for Open Science since the preregistration is often considered an effective and important tool to prevent selective publishing. Three levels are described for each of the eight points of these guidelines. This provides a good idea on what is considered as best practice when reporting research data in the sense of these principles.</br><br />
'''Conclusion'''</br><br />
The TOP guidelines are relevant for academic research institutions wanting to publish their work. These guidelines are less relevant for groups performing applied research and consider to claim an intellectual property on their research finding.</br><br />
'''Links'''</br><br />
* https://www.cos.io<br />
<br />
<br />
==<span id="ALCOA"></span>ALCOAplus == <br />
'''Background'''</br><br />
ALCOAplus is considered the industry standard for Good Documentation Practice (GDocP) in research laboratories. Originated from FDA regulations and well established by the WHO, who described it in their guiding principles in 2016.</br><br />
'''Target audience'''</br><br />
Any researcher who is performing experiments.</br><br />
'''Function'''</br><br />
Personnel should follow these principles for both paper records and electronic records in order to assure data integrity. These principles require that documentation has the characteristics of being Attributable, Legible, Contemporaneously recorded, Original and Accurate (referred to as ALCOA). These five attributes are often supplemented with Complete, Consistent, Endurable and Available.</br><br />
'''Conclusion'''</br><br />
The nine attributes of ALCOAplus provide general guidance for researchers which should be used for every experiment, hence, they build the foundation for any research data record.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research transparent is useful. Depending on the technical preconditions, it could be seen a responsibility of the CF to ensure that all raw data files are time stamped. But there will also be many occasions, were this is given by the software or maybe this is the full responsibility of the user of the CF in which case all these guiding principles should be communicated.</br><br />
'''Links'''</br><br />
* https://www.who.int/medicines/publications/pharmprep/WHO_TRS_996_annex05.pdf</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Current_guidelines_and_norms&diff=858Current guidelines and norms2021-04-15T13:10:09Z<p>Bjoern Gerlach: /* EQIPD Quality System */</p>
<hr />
<div>==<span id="ISO"></span>ISO9001== <br />
ISO9001 is an international quality management standard to certify a generic quality system. The aim is the standardization of all processes in a given work environment to achieve customer satisfaction. This standard was launched in 1987 and has become the most accepted standard world-wide. It provides a general approach to quality control and quality assurance by focusing on the processes applied in a given organisation. All processes have to be defined, put into context, evaluated and improved according to a standardized process. The ultimate goal is the customer satisfaction which must also be evaluated. This general approach for achieving high quality standards is suitable for organisations with standardized processes, defined customers and no special quality requirements for a given environment. In fact, for many organisations, for example producers of medical products or automotive suppliers, additional standards apply.</br><br />
'''Background'''</br><br />
ISO (the International Organization for Standardization) is a worldwide federation of national standards bodies (ISO member bodies). The work of preparing International Standards is normally carried out through ISO technical committees. Each member body interested in a subject for which a technical committee has been established has the right to be represented on that committee. International organizations, governmental and non-governmental, in liaison with ISO, also take part in the work. ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization. Launched: 1987, 2915<br />
Procuring organizations needed a basis of contractual arrangements with their suppliers (i.e., basic requirements for a supplier to assure product quality)</br><br />
'''Target audience'''</br><br />
All the requirements of ISO 9001:2015 are generic and are intended to be applicable to any organization, regardless of its type or size, or the products and services it provides.<br />
A general QMS that can be applied to all aspects of organizations (not focused on biomedical research) </br><br />
'''Function'''</br><br />
Establishing the ISO9001 quality management system will standardize all processes in a given environment to achieve an output (product or service) with always the same quality. For this, the organizational overall performance is continuously improved to enhance customer satisfaction which is in the center of the norm. The improvement is achieved by a systematic use of the Denim-cycle, or PDCA-cycle which works in four steps: 1. Plan, 2. Do, 3. Check, 4. Act. The documentation of the processes and the improvement of them is a universal and powerful tool to achieve always the same output and learn from the mistakes.<br />
The downside of this approach is the requirement for detailed documentation of all actions and events which can be a challenge and too labor intensive for some environments. </br><br />
'''Conclusion'''</br><br />
The ISO9001 quality management system is appropriate for organisations wanting to provide products and services for their customers on a constant high level and who have the resources or can at least charge extra for the additional workload. Also, it seems to be easier adaptable in environments with standardised processes. In contrast, the system does not seem to be appropriate for organisations with high degrees of freedom in their processes, who lack resources and have very specific needs in respect for quality that cannot be defined by requirements of a specific customer.</br><br />
'''What can be taken from it?'''</br><br />
The ISO9001 norm follows a “process approach” meaning that all actions in an organisation should be described as processes. In short, a process describes what is the input for an action, how the action is performed and what is the output and should be documented in a way that a naïve person would be able to perform this process just with the document. Adapting just this approach of this standard can be very helpful for CF, especially for larger ones with more staff to unify processes. </br><br />
'''Links'''</br><br />
* https://www.iso.org/obp/ui/#iso:std:62085:en <br/> <br />
* https://www.iso.org/standard/62085.html <br />
<br />
<br />
==<span id="GLP"></span>Good Laboratory practice (GLP)==<br />
'''Background'''</br><br />
The Good Laboratory Practice (GLP) was established by the FDA and OECD in 1976 and 1981, respectively. It was as a reaction to an incident in a laboratory in the 1970ties submitting contradictory data to the FDA. The aim is to make documentation of experiments transparent, have clear organizational structures and responsibilities. </br><br />
'''Target audience'''</br><br />
The focus is on labs who perform non-clinical health and environmental safety studies upon which hazard assessments are based. </br><br />
'''Function'''</br><br />
GLP aims to improve the organizational process and the conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, archived and reported. Working under GLP should allow rigorous and detailed documentation of experiments to ensure the quality, integrity and reliability of data on the properties and/or safety of test items concerning human health and/or the environment. </br><br />
'''Conclusion'''</br><br />
GLP is appropriate for research labs having the requirement to work under GLP. The system increases documentation and transparency about research data and its creation. It does not make specific requirements in respect to robustness of data and is documentation intensive.</br><br />
'''What can be taken from it?'''</br><br />
Documentation tailored for research environment</br><br />
'''Links'''</br><br />
* https://www.who.int/tdr/publications/documents/glp-handbook.pdf<br />
* https://www.ich.org/page/efficacy-guidelines (E6 section)<br />
<br />
<br />
==<span id="EQIPD"></span>EQIPD Quality System==<br />
'''Background'''</br><br />
The biomedical research community (industry and academia) recognized the negative impact of lacking research rigor on the development of novel therapeutics, and the need for a comprehensive practical solution to help enhance preclinical data quality. For that reason, a project under the umbrella of the Innovative Medicine Initiative was dedicated to research data quality and to establish a quality system (QS) for research. </br><br />
'''Target audience'''</br><br />
The focus was on non-regulated preclinical biomedical research, however, the system can also be applied to any other natural science field. </br><br />
'''Function'''</br><br />
The EQIPD QS sets a standard to facilitate the generation of robust and reliable research data and thereby boost innovation. It consists of Core Requirements setting the foundation for data integrity and requiring very little documentation, except for the experiment itself. It also makes specific requirements for experiments intending a formal knowledge-claim. The system has a [https://eqipd-toolbox.paasp.net/wiki/EQIPD_for_Core_Facilities tailored approach for core facilities] which includes results from the Q-CoFa project.</br><br />
'''Conclusion'''</br><br />
The EQIPD QS is appropriate for research units with a focus on data quality and integrity. It requires little documentation and due to its specific focus on research cannot be applied to any environment.</br><br />
'''What can be taken from it?'''</br><br />
The EQIPD quality system describes aspects to protect against research biases that is not covered by any other systematic approach and could be seen helpful for most CFs. The tools and resources provided by this approach can be adapted on an “as-you-need-basis” for specific gaps within a research unit.</br><br />
'''Links'''</br><br />
* [https://osf.io/vduze/ Preprint of the manuscript on the EQIPD QS]<br />
* [https://eqipd-toolbox.paasp.net/wiki/EQIPD_Quality_System website with practical information on the EQIPD QS]<br />
<br />
==<span id="Premier"></span>Premier==<br />
'''Background'''</br><br />
PREMIER stands for Predictiveness and Robustness through Modular Improvement of Experimental Research and was developed at the Institute for Experimental Pharmacology at the Charité – University Clinic Berlin. The group by Prof. Dirnagl is experienced in establishing quality procedures within academic research units and found that ISO9001 is not appropriate for such research units. Therefore, the research unit created their own quality system.</br><br />
'''Target audience'''</br><br />
Design, conduct, analysis and reporting of experiments in biomedical research.</br><br />
'''Function'''</br><br />
PREMIER is a conceptual framework of a modular QM system with low implementation threshold for research groups, departments or even institutions. It helps them to systematically improve the quality of their academic preclinical biomedical research. PREMIER provides modules (12 in total) with minimum requirements that can be adapted to the needs and resources of any organization / laboratory.<br />
PREMIER is designed both as a modular quality tool with four main building blocks: 1) Managing (Governance), 2) Planning and Implementing (Key Processes), 3) Supporting (Support Processes), 4) Measuring and Improving (Continuous Improvement). The implementation of all four building blocks renders the PREMIER a QM system.</br><br />
'''Conclusion'''</br><br />
PREMIER is a comprehensive quality system dedicated for research units. It describes the different aspects and focuses on data quality.</br><br />
'''What can be taken from it?'''</br><br />
The modular approach of the Premier System allows the easy and specific retrieval of information to tackle issues within a research lab. The PREMIER “House” provides an overview and easy access to the different topics.</br><br />
'''Links'''</br><br />
* https://premier-qms.org/ <br />
* https://premier-qms.org/premier<br />
<br />
<br />
==<span id="FAIR"></span>The FAIR Guiding Principles ==<br />
'''Background'''</br><br />
The FAIR Data Principles were drafted at a Lorentz Center workshop in Leiden in the Netherlands in 2015. These principles for data management and stewardship guidance to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. Their emphasis is on the meta data accompanying the experimental data for computational systems with none or minimal human intervention.</br><br />
'''Target audience'''</br><br />
The FAIR Data Principles apply to any scholarly data.</br><br />
'''Function'''</br><br />
The application of these four foundational principles—Findability, Accessibility, Interoperability, and Reusability— shall ensure that research data are useable for their lifetime by any person having access to the data. The four principles are subdivided into additional requirements describing several features applying to any data set.</br><br />
'''Conclusion'''</br><br />
The FAIR data principles provide an easy and important guidance on how to describe research data. They are important for any research lab and solely focus on the reusability of research data.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research data usable in the future. However, due to the specialisation of CF, it might be possible to see the “Interoperability” and “Accessibility” of research data as a focus for CF. For example, if the raw data are stored in a special data format that requires a unique software from a manufacturer, the CF could take over the responsibility to keep the different software versions available. This will allow accessibility of raw data in the future even if the program is not available anymore in the research unit or from the manufacturer.</br><br />
'''Links'''</br><br />
* https://www.nature.com/articles/sdata201618<br />
<br />
<br />
==<span id="TOP"></span>TOP-guidelines==<br />
'''Background'''</br><br />
The Guidelines for Transparency and Openness Promotion (TOP) in Journal Policies and Practices which are published by the Center for Open Science (COS) to promote openness in science, thereby improving reproducibility.</br><br />
'''Target audience'''</br><br />
Research data aimed to be published.</br><br />
'''Function'''</br><br />
The guidelines have a focus on the publication of research data by requesting full transparency about the research data and the standards that were applied to it. The important elements are the correct and comprehensiveness of the citations, a detailed description of the technical protocols as well as preregistration of the experiments. Especially the latter is in the focus of the Center for Open Science since the preregistration is often considered an effective and important tool to prevent selective publishing. Three levels are described for each of the eight points of these guidelines. This provides a good idea on what is considered as best practice when reporting research data in the sense of these principles.</br><br />
'''Conclusion'''</br><br />
The TOP guidelines are relevant for academic research institutions wanting to publish their work. These guidelines are less relevant for groups performing applied research and consider to claim an intellectual property on their research finding.</br><br />
'''Links'''</br><br />
* https://www.cos.io<br />
<br />
<br />
==<span id="ALCOA"></span>ALCOAplus == <br />
'''Background'''</br><br />
ALCOAplus is considered the industry standard for Good Documentation Practice (GDocP) in research laboratories. Originated from FDA regulations and well established by the WHO, who described it in their guiding principles in 2016.</br><br />
'''Target audience'''</br><br />
Any researcher who is performing experiments.</br><br />
'''Function'''</br><br />
Personnel should follow these principles for both paper records and electronic records in order to assure data integrity. These principles require that documentation has the characteristics of being Attributable, Legible, Contemporaneously recorded, Original and Accurate (referred to as ALCOA). These five attributes are often supplemented with Complete, Consistent, Endurable and Available.</br><br />
'''Conclusion'''</br><br />
The nine attributes of ALCOAplus provide general guidance for researchers which should be used for every experiment, hence, they build the foundation for any research data record.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research transparent is useful. Depending on the technical preconditions, it could be seen a responsibility of the CF to ensure that all raw data files are time stamped. But there will also be many occasions, were this is given by the software or maybe this is the full responsibility of the user of the CF in which case all these guiding principles should be communicated.</br><br />
'''Links'''</br><br />
* https://www.who.int/medicines/publications/pharmprep/WHO_TRS_996_annex05.pdf</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Current_guidelines_and_norms&diff=857Current guidelines and norms2021-04-15T13:09:42Z<p>Bjoern Gerlach: /* EQIPD Quality System */</p>
<hr />
<div>==<span id="ISO"></span>ISO9001== <br />
ISO9001 is an international quality management standard to certify a generic quality system. The aim is the standardization of all processes in a given work environment to achieve customer satisfaction. This standard was launched in 1987 and has become the most accepted standard world-wide. It provides a general approach to quality control and quality assurance by focusing on the processes applied in a given organisation. All processes have to be defined, put into context, evaluated and improved according to a standardized process. The ultimate goal is the customer satisfaction which must also be evaluated. This general approach for achieving high quality standards is suitable for organisations with standardized processes, defined customers and no special quality requirements for a given environment. In fact, for many organisations, for example producers of medical products or automotive suppliers, additional standards apply.</br><br />
'''Background'''</br><br />
ISO (the International Organization for Standardization) is a worldwide federation of national standards bodies (ISO member bodies). The work of preparing International Standards is normally carried out through ISO technical committees. Each member body interested in a subject for which a technical committee has been established has the right to be represented on that committee. International organizations, governmental and non-governmental, in liaison with ISO, also take part in the work. ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization. Launched: 1987, 2915<br />
Procuring organizations needed a basis of contractual arrangements with their suppliers (i.e., basic requirements for a supplier to assure product quality)</br><br />
'''Target audience'''</br><br />
All the requirements of ISO 9001:2015 are generic and are intended to be applicable to any organization, regardless of its type or size, or the products and services it provides.<br />
A general QMS that can be applied to all aspects of organizations (not focused on biomedical research) </br><br />
'''Function'''</br><br />
Establishing the ISO9001 quality management system will standardize all processes in a given environment to achieve an output (product or service) with always the same quality. For this, the organizational overall performance is continuously improved to enhance customer satisfaction which is in the center of the norm. The improvement is achieved by a systematic use of the Denim-cycle, or PDCA-cycle which works in four steps: 1. Plan, 2. Do, 3. Check, 4. Act. The documentation of the processes and the improvement of them is a universal and powerful tool to achieve always the same output and learn from the mistakes.<br />
The downside of this approach is the requirement for detailed documentation of all actions and events which can be a challenge and too labor intensive for some environments. </br><br />
'''Conclusion'''</br><br />
The ISO9001 quality management system is appropriate for organisations wanting to provide products and services for their customers on a constant high level and who have the resources or can at least charge extra for the additional workload. Also, it seems to be easier adaptable in environments with standardised processes. In contrast, the system does not seem to be appropriate for organisations with high degrees of freedom in their processes, who lack resources and have very specific needs in respect for quality that cannot be defined by requirements of a specific customer.</br><br />
'''What can be taken from it?'''</br><br />
The ISO9001 norm follows a “process approach” meaning that all actions in an organisation should be described as processes. In short, a process describes what is the input for an action, how the action is performed and what is the output and should be documented in a way that a naïve person would be able to perform this process just with the document. Adapting just this approach of this standard can be very helpful for CF, especially for larger ones with more staff to unify processes. </br><br />
'''Links'''</br><br />
* https://www.iso.org/obp/ui/#iso:std:62085:en <br/> <br />
* https://www.iso.org/standard/62085.html <br />
<br />
<br />
==<span id="GLP"></span>Good Laboratory practice (GLP)==<br />
'''Background'''</br><br />
The Good Laboratory Practice (GLP) was established by the FDA and OECD in 1976 and 1981, respectively. It was as a reaction to an incident in a laboratory in the 1970ties submitting contradictory data to the FDA. The aim is to make documentation of experiments transparent, have clear organizational structures and responsibilities. </br><br />
'''Target audience'''</br><br />
The focus is on labs who perform non-clinical health and environmental safety studies upon which hazard assessments are based. </br><br />
'''Function'''</br><br />
GLP aims to improve the organizational process and the conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, archived and reported. Working under GLP should allow rigorous and detailed documentation of experiments to ensure the quality, integrity and reliability of data on the properties and/or safety of test items concerning human health and/or the environment. </br><br />
'''Conclusion'''</br><br />
GLP is appropriate for research labs having the requirement to work under GLP. The system increases documentation and transparency about research data and its creation. It does not make specific requirements in respect to robustness of data and is documentation intensive.</br><br />
'''What can be taken from it?'''</br><br />
Documentation tailored for research environment</br><br />
'''Links'''</br><br />
* https://www.who.int/tdr/publications/documents/glp-handbook.pdf<br />
* https://www.ich.org/page/efficacy-guidelines (E6 section)<br />
<br />
<br />
==<span id="EQIPD"></span>EQIPD Quality System==<br />
'''Background'''</br><br />
The biomedical research community (industry and academia) recognized the negative impact of lacking research rigor on the development of novel therapeutics, and the need for a comprehensive practical solution to help enhance preclinical data quality. For that reason, a project under the umbrella of the Innovative Medicine Initiative was dedicated to research data quality and to establish a quality system (QS) for research. </br><br />
'''Target audience'''</br><br />
The focus was on non-regulated preclinical biomedical research, however, the system can also be applied to any other natural science field. </br><br />
'''Function'''</br><br />
The EQIPD QS sets a standard to facilitate the generation of robust and reliable research data and thereby boost innovation. It consists of Core Requirements setting the foundation for data integrity and requiring very little documentation, except for the experiment itself. It also makes specific requirements for experiments intending a formal knowledge-claim. The system has a [https://eqipd-toolbox.paasp.net/wiki/EQIPD_for_Core_Facilities tailored approach for core facilities] which includes results from the Q-CoFa project.</br><br />
'''Conclusion'''</br><br />
The EQIPD QS is appropriate for research units with a focus on data quality and integrity. It requires little documentation and due to its specific focus on research cannot be applied to any environment.</br><br />
'''What can be taken from it?'''</br><br />
The EQIPD quality system describes aspects to protect against research biases that is not covered by any other systematic approach and could be seen helpful for most CFs. The tools and resources provided by this approach can be adapted on an “as-you-need-basis” for specific gaps within a research unit.</br><br />
'''Links'''</br><br />
* [https://osf.io/vduze/ Preprint of the manuscript on the EQIPD QS<br />
* [https://eqipd-toolbox.paasp.net/wiki/EQIPD_Quality_System website with practical information on the EQIPD QS]<br />
<br />
==<span id="Premier"></span>Premier==<br />
'''Background'''</br><br />
PREMIER stands for Predictiveness and Robustness through Modular Improvement of Experimental Research and was developed at the Institute for Experimental Pharmacology at the Charité – University Clinic Berlin. The group by Prof. Dirnagl is experienced in establishing quality procedures within academic research units and found that ISO9001 is not appropriate for such research units. Therefore, the research unit created their own quality system.</br><br />
'''Target audience'''</br><br />
Design, conduct, analysis and reporting of experiments in biomedical research.</br><br />
'''Function'''</br><br />
PREMIER is a conceptual framework of a modular QM system with low implementation threshold for research groups, departments or even institutions. It helps them to systematically improve the quality of their academic preclinical biomedical research. PREMIER provides modules (12 in total) with minimum requirements that can be adapted to the needs and resources of any organization / laboratory.<br />
PREMIER is designed both as a modular quality tool with four main building blocks: 1) Managing (Governance), 2) Planning and Implementing (Key Processes), 3) Supporting (Support Processes), 4) Measuring and Improving (Continuous Improvement). The implementation of all four building blocks renders the PREMIER a QM system.</br><br />
'''Conclusion'''</br><br />
PREMIER is a comprehensive quality system dedicated for research units. It describes the different aspects and focuses on data quality.</br><br />
'''What can be taken from it?'''</br><br />
The modular approach of the Premier System allows the easy and specific retrieval of information to tackle issues within a research lab. The PREMIER “House” provides an overview and easy access to the different topics.</br><br />
'''Links'''</br><br />
* https://premier-qms.org/ <br />
* https://premier-qms.org/premier<br />
<br />
<br />
==<span id="FAIR"></span>The FAIR Guiding Principles ==<br />
'''Background'''</br><br />
The FAIR Data Principles were drafted at a Lorentz Center workshop in Leiden in the Netherlands in 2015. These principles for data management and stewardship guidance to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. Their emphasis is on the meta data accompanying the experimental data for computational systems with none or minimal human intervention.</br><br />
'''Target audience'''</br><br />
The FAIR Data Principles apply to any scholarly data.</br><br />
'''Function'''</br><br />
The application of these four foundational principles—Findability, Accessibility, Interoperability, and Reusability— shall ensure that research data are useable for their lifetime by any person having access to the data. The four principles are subdivided into additional requirements describing several features applying to any data set.</br><br />
'''Conclusion'''</br><br />
The FAIR data principles provide an easy and important guidance on how to describe research data. They are important for any research lab and solely focus on the reusability of research data.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research data usable in the future. However, due to the specialisation of CF, it might be possible to see the “Interoperability” and “Accessibility” of research data as a focus for CF. For example, if the raw data are stored in a special data format that requires a unique software from a manufacturer, the CF could take over the responsibility to keep the different software versions available. This will allow accessibility of raw data in the future even if the program is not available anymore in the research unit or from the manufacturer.</br><br />
'''Links'''</br><br />
* https://www.nature.com/articles/sdata201618<br />
<br />
<br />
==<span id="TOP"></span>TOP-guidelines==<br />
'''Background'''</br><br />
The Guidelines for Transparency and Openness Promotion (TOP) in Journal Policies and Practices which are published by the Center for Open Science (COS) to promote openness in science, thereby improving reproducibility.</br><br />
'''Target audience'''</br><br />
Research data aimed to be published.</br><br />
'''Function'''</br><br />
The guidelines have a focus on the publication of research data by requesting full transparency about the research data and the standards that were applied to it. The important elements are the correct and comprehensiveness of the citations, a detailed description of the technical protocols as well as preregistration of the experiments. Especially the latter is in the focus of the Center for Open Science since the preregistration is often considered an effective and important tool to prevent selective publishing. Three levels are described for each of the eight points of these guidelines. This provides a good idea on what is considered as best practice when reporting research data in the sense of these principles.</br><br />
'''Conclusion'''</br><br />
The TOP guidelines are relevant for academic research institutions wanting to publish their work. These guidelines are less relevant for groups performing applied research and consider to claim an intellectual property on their research finding.</br><br />
'''Links'''</br><br />
* https://www.cos.io<br />
<br />
<br />
==<span id="ALCOA"></span>ALCOAplus == <br />
'''Background'''</br><br />
ALCOAplus is considered the industry standard for Good Documentation Practice (GDocP) in research laboratories. Originated from FDA regulations and well established by the WHO, who described it in their guiding principles in 2016.</br><br />
'''Target audience'''</br><br />
Any researcher who is performing experiments.</br><br />
'''Function'''</br><br />
Personnel should follow these principles for both paper records and electronic records in order to assure data integrity. These principles require that documentation has the characteristics of being Attributable, Legible, Contemporaneously recorded, Original and Accurate (referred to as ALCOA). These five attributes are often supplemented with Complete, Consistent, Endurable and Available.</br><br />
'''Conclusion'''</br><br />
The nine attributes of ALCOAplus provide general guidance for researchers which should be used for every experiment, hence, they build the foundation for any research data record.</br><br />
'''What can be taken from it?'''</br><br />
Any of the guiding principles to make research transparent is useful. Depending on the technical preconditions, it could be seen a responsibility of the CF to ensure that all raw data files are time stamped. But there will also be many occasions, were this is given by the software or maybe this is the full responsibility of the user of the CF in which case all these guiding principles should be communicated.</br><br />
'''Links'''</br><br />
* https://www.who.int/medicines/publications/pharmprep/WHO_TRS_996_annex05.pdf</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Quality_improvements:_Recommendations&diff=856Quality improvements: Recommendations2021-04-15T13:01:02Z<p>Bjoern Gerlach: </p>
<hr />
<div>There are many possibilities how to improve research quality:<br />
* Use a [[Management: Recommendations|management software and ELN]] to improve efficiency and traceability.<br />
* Maintain the equipment, keep up with technology, automate processes.<br />
* Provide [[Training the users: Recommendations|training]] and visit conferences/workshops<br />
* Set up and regularly improve [[SOPs: Recommendations|SOPs]], [[Data management: Recommendations|data management]] and [[Documentation: Recommendations|documentation]].<br />
* Organise an audit or a yearly review of the CF processes<br />
* Provide CF staff feedback and [[:File:User-feedback-form.docx|user’s feedback]]<br />
* Set-up a quality system and get a [[Accreditation: Recommendations|quality accreditation]], <br />
<br />
<br />
<br />
'''Audit / Review'''<br />
<br />
A yearly '''audit''' from external colleagues or a '''self-review''' (the [https://eqipd-toolbox.paasp.net/wiki/4.1.2_Self_assessment Self-assessment] by EQIPD can give guidance) with all the CF staff will allow you to reflect on your performance, identify and solve problems together and think of possible improvements. You should cover the following topics:<br />
* Past: check the implementation status of the previous year’s resolutions and assess their usefulness.<br />
* Present: review the current processes. <br />
* Future: identify improvements to implement in the coming year.<br />
Write a summary of the session, including the findings, solutions and responsibilities. And don’t forget to schedule the next year meeting.<br />
<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Quality_checkpoints:_Recommendations&diff=855Quality checkpoints: Recommendations2021-04-15T12:58:07Z<p>Bjoern Gerlach: </p>
<hr />
<div>To find a balance between quality and cost, define which steps of the experimental procedure should be checked before proceeding to the next one in order to maximize data quality while keeping the procedure manageable (timewise and cost-wise).<br />
<br />
Implement checkpoints at strategic steps of the experiment so that they are most effective at monitoring quality in order to achieve rigorous and reproducible results. <br />
<br />
The following [[:File:Quality_checkpoints.docx|'''checkpoints''']] are especially important. At these steps, the process should be checked (by the core facility or PI or another scientist, depending on the discussed [[:File:Responsibility distribution.docx|responsibility distribution]]) and can only proceed if it passes quality control.<br />
<br />
<br />
{| class="wikitable"<br />
|-<br />
! Checkpoints<br />
! Recommendations<br />
|-<br />
| Experimental design<br />
| CFs should provide information and advice on the experimental design and encourage their users to follow good research practices. Experimental design should be checked by the CF or PI or another scientist before proceeding further to ensure the results will be meaningful and to avoid waste of money and resources. Ill-designed projects should be rejected.<br />
|-<br />
| Sample quality<br />
| CFs or PI or another scientist should control sample quality before starting data acquisition and reject poor samples. Were the samples prepared optimally? Are all relevant controls included? <br />
In case of limiting or rare samples, CFs should discuss with their users what consequences the sample quality will have on data interpretation and if the experiment should continue. <br />
|-<br />
| Data analysis<br />
| CFs and PIs should decide who will be responsible for checking the correctness of data analysis to avoid misinterpretation and bias. <br />
|-<br />
| Publication<br />
| CFs should be informed before the data produced at the CF are submitted for publication to have a last possibility to check them if they wish to. The CF should have the right to check and validate the relevant figures before publication. <br />
|}<br />
<br />
The Quality checkpoints are part of the implementation process of the EQIPD Quality System in CFs. When setting up the quality system with the provided tools (i.e. Planning Tool) CF leaders can include the "[https://eqipd-toolbox.paasp.net/wiki/NEED#EQIPD_for_Core_Facilities EQIPD NEED]" in their system.<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Training_the_users:_Recommendations&diff=854Training the users: Recommendations2021-04-15T12:52:24Z<p>Bjoern Gerlach: </p>
<hr />
<div>Training is very important. It should include all aspects relevant for the user, e.g. overview of the whole procedure, theoretical aspects, good scientific practice, experimental design, sample preparation, controls, techniques, protocols, instruments usage, raw data acquisition, data analysis, limitations, safety, using SOPs, rules to follow.<br />
<br />
It can be delivered in person (one-to-one or in groups), in writing (handbooks) or virtually (videos). Hands-on training is very important as it is the only way to transmit '''tacit knowledge'''. <br />
<br />
Keep [[:File:Training_records.docx|'''training records''']] for all users. Booking and billing of training can be integrated in the [[Management: Recommendations|'''management software''']]. <br />
<br />
Regarding the pricing, there are 3 possibilities to consider: <br />
* price per training <br />
* or flat-rate<br />
* or price included in the experiment price. <br />
A price per training may seem fairer but research groups could be saving on it and therefore not receive the training needed to guarantee optimal experimental quality. A flat rate might seem unfair because not all experiments may require the same amount of training. Including the training cost in the experimental cost might be a fair solution and prevent PI saving on it.<br />
<br />
The [https://eqipd-toolbox.paasp.net/wiki/EQIPD_for_Core_Facilities EQIPD guidance for users of CF] is a comprehensive collection of information created by a working group describing important aspects users should follow. <br />
<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Data_management:_Recommendations&diff=853Data management: Recommendations2021-04-15T12:48:52Z<p>Bjoern Gerlach: </p>
<hr />
<div>It is very important that data are searchable, findable, reusable, attributable, readable, accurate, and complete. Take one of your published figures from 5 years ago. Are you able to find the raw data? How long will it take you? According to our [https://elifesciences.org/articles/62212 survey], 3 quarters of CFs cannot do this… <br />
<br />
Below are some recommendations how this can be improved. <br />
<br />
Use an [[Management: Recommendations#ELN|electronic lab book (ELN) or LIMS]] or write a [[:File:Data_management_guideline.docx|'''data management guideline''']] for your users about how data will be managed at the CF. [[:File:Responsibility distribution.docx|'''Define who does what''']] and how, regarding data naming, saving, transferring, long-term storage and analysis. <br />
<br />
* <span style="color:#0a42c5">Data naming:</span><br />
::A '''unique''' and logical name is the first step to traceable data. Decide of a uniform and consistent convention that you impose on your users, also allowing some personalisation:<br />
<br />
::e.g. 201130-imk-experimentX [date]-[user acronym]-[free text from the user]<br />
* <span style="color:#0a42c5">Data saving: </span><br />
::Raw data files should be '''unmodifiable''' and should include '''metadata''' about the acquisition settings and the experimental conditions. <br />
* <span style="color:#0a42c5">Data transferring: <br />
::Organize easy/practical data transfer to the user (eg. through network) to prevent data loss.<br />
* <span style="color:#0a42c5">Data storage: </span><br />
::Define '''who''' will store the raw data long-term and where (see [[Responsibility: Recommendations|responsibility]]). CF could store raw data additionally for the users on a server/repository, as a backup and to prevent fraud.<br />
* <span style="color:#0a42c5">Data analysis: </span><br />
::Analysed data must be given a different name from raw data (by adding a suffix). Ensure raw data are not modified or overwritten. Analysed data should be linked to raw data, as well as published figures.<br />
* <span style="color:#0a42c5">Data traceability</span><br />
::Data processing (from data acquisition, repeated datasets, data analysis up to published figures) needs to be properly documented to ensure traceability. Always use the same unique identifier throughout the experiment and modify only the end of the name. Ensure data are structured and complete.<br />
<br />
<br />
<br />
A '''data management plan (DMP)''' can also be implemented for each experiment. It is a written document that describes the data you expect to acquire or generate during the course of a research project, how you will manage, describe, analyse, and store those data, and what mechanisms you will use at the end of your project to share and preserve your data. <br />
<br />
https://library.stanford.edu/research/data-management-services/data-management-plans<br />
<br />
https://en.wikipedia.org/wiki/Data_management_plan<br />
<br />
https://www.forschungsdaten.info/praxis-kompakt/english-pages/<br />
<br />
<br />
[[Start_here|Go back to menu]]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Interaction_with_users:_Recommendations&diff=609Interaction with users: Recommendations2021-03-02T09:57:53Z<p>Bjoern Gerlach: </p>
<hr />
<div>One of the biggest challenges for a CF is the optimal cooperation/communication with its users. CF often complain the users do not cooperate in an optimal way. Problems can be varied: the users may not read their messages, not use the advice/protocols provided, not follow the CF rules/procedures…<br />
<br />
== Problems: ==<br />
<br />
* “I advise but know that many people ignore this advice.”<br />
* “The core facility tried to implement a data management plan, but this was not accepted by the user.”<br />
* “If I produce a plan, it will just be another formal document that will be ignored...”<br />
* “It is sometimes difficult - usually more because of group leaders than because of students - to get people to accept new or improved ways of doing certain types of experiments.”<br />
* “One of the problems that we have had is scientists thinking they know how to do analysis and using the incorrect statistical test or website because it gives them the answer they were after rather than the correct answer.”<br />
<br />
<br />
== How do you encourage the users to follow your advice? ==<br />
<br />
* <span style="color:#0a42c5">'''Provide written information'''</span><br />
* <span style="color:#0a42c5">'''Don’t charge for advising time'''</span><br />
* <span style="color:#0a42c5">'''Give examples'''</span><br />
::“Verbal, written, previous examples of what failure looks like and leading by example by doing the experiment properly and showing them the difference in outcome”.<br />
<br />
::“Describing the influence of acquired data on the overall quality of the data.”<br />
<br />
::“Tell/show them how it will benefit them directly”.<br />
<br />
::“Show case during workshop and seminars”.<br />
<br />
* <span style="color:#0a42c5">'''Experiments are expensive'''</span><br />
::“explain how expensive is to redo a study”.<br />
<br />
::“Breaking the lab use rules is punishable. Faking or fudging data would result in severe disciplinary procedure. I also explain that conducting scientific research is very expensive and that our funding comes mostly from charities, so it would really suck to spend hundreds of thousands to get crap data, because they are not using proper sample prep protocols, appropriate controls, or do not know how to analyse and present the data.”<br />
<br />
* <span style="color:#0a42c5">'''Go to the user'''</span><br />
::“Talk with them - regularly. Join their lab meetings.”<br />
<br />
::“Talk to them, offer help and support in discussing their findings, try to get involved and show interest such as attending their seminars and listening about their applications/samples when teaching them, make suggestions for improvements on experimental design”.<br />
<br />
* <span style="color:#0a42c5">'''Active support'''</span><br />
::“We are involved in all steps of the sample processing, experimental design and data analysis. Therefore, we have enough time to build trust between CF and user.”<br />
<br />
::“We emphasise the importance of good science and correct reporting. we also provide active support in writing”.<br />
<br />
* <span style="color:#0a42c5">'''Clear, relevant and accessible information'''</span><br />
::“We provide relevant and detailed information”. <br />
<br />
::“We make the information as easily accessible as we reasonably can.”<br />
<br />
::“By being polite, not too critical, and providing a clear explanation of what we are suggesting.”<br />
<br />
* <span style="color:#0a42c5">'''Enforcement'''</span><br />
::“I train the users until proficiency, so I know they will follow my instructions.”<br />
<br />
::“Give them a written exam after training”.<br />
<br />
::“We have a signed user-form where we request to be involved in interpretation and publication of the data ....”</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Interaction_with_users:_Recommendations&diff=608Interaction with users: Recommendations2021-03-02T09:57:31Z<p>Bjoern Gerlach: </p>
<hr />
<div>One of the biggest challenges for a CF is the optimal cooperation/communication with its users. CF often complain the users do not cooperate in an optimal way. Problems can be varied: the users may not read their messages, not use the advice/protocols provided, not follow the CF rules/procedures…<br />
<br />
== Problems: ==<br />
<br />
* “I advise but know that many people ignore this advice.”<br />
* “The core facility tried to implement a data management plan, but this was not accepted by the user.”<br />
* “If I produce a plan, it will just be another formal document that will be ignored...”<br />
* “It is sometimes difficult - usually more because of group leaders than because of students - to get people to accept new or improved ways of doing certain types of experiments.”<br />
* “One of the problems that we have had is scientists thinking they know how to do analysis and using the incorrect statistical test or website because it gives them the answer they were after rather than the correct answer.”<br />
<br />
<br />
== How do you encourage the users to follow your advice? ==<br />
<br />
* <span style="color:#0a42c5">'''Provide written information'''</span><br />
* <span style="color:#0a42c5">'''Don’t charge for advising time'''</span><br />
* <span style="color:#0a42c5">'''Give examples'''</span><br />
::“Verbal, written, previous examples of what failure looks like and leading by example by doing the experiment properly and showing them the difference in outcome”.<br />
<br />
::“Describing the influence of acquired data on the overall quality of the data.”<br />
<br />
::“Tell/show them how it will benefit them directly”.<br />
<br />
::“Show case during workshop and seminars”.<br />
<br />
* <span style="color:#0a42c5">'''Experiments are expensive'''</span><br />
::“explain how expensive is to redo a study”.<br />
<br />
::“Breaking the lab use rules is punishable. Faking or fudging data would result in severe disciplinary procedure. I also explain that conducting scientific research is very expensive and that our funding comes mostly from charities, so it would really suck to spend hundreds of thousands to get crap data, because they are not using proper sample prep protocols, appropriate controls, or do not know how to analyse and present the data.”<br />
<br />
* <span style="color:#0a42c5">'''Go to the user'''</span><br />
::“Talk with them - regularly. Join their lab meetings.”<br />
<br />
::“Talk to them, offer help and support in discussing their findings, try to get involved and show interest such as attending their seminars and listening about their applications/samples when teaching them, make suggestions for improvements on experimental design”.<br />
<br />
* <span style="color:#0a42c5">'''Active support'''</span><br />
::“We are involved in all steps of the sample processing, experimental design and data analysis. Therefore, we have enough time to build trust between CF and user.”<br />
<br />
::“We emphasise the importance of good science and correct reporting. we also provide active support in writing”.<br />
<br />
* <span style="color:#0a42c5">'''Clear, relevant and accessible information'''</span><br />
::“We provide relevant and detailed information”. <br />
<br />
::“We make the information as easily accessible as we reasonably can.”<br />
<br />
::“By being polite, not too critical, and providing a clear explanation of what we are suggesting.”<br />
<br />
* <span style="color:#0a42c5">'''Enforcement'''</span><br />
::“I train the users until proficiency, so I know they will follow my instructions.”<br />
<br />
::“Give them a written exam after training”.<br />
<br />
::“We have a signed user-form where we request to be involved in interpretation and publication of the data ....”<br />
<br />
Test</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Funding:_Recommendations&diff=599Funding: Recommendations2021-03-01T12:51:53Z<p>Bjoern Gerlach: </p>
<hr />
<div>User’s fees don’t cover CF running cost. However, [[:File:Funding.jpg|sufficient funding]] is required to maintain and improve quality standards. Here is a list of funding possibilities. <br />
<br />
Would you like to share your funding source and ideas with the core facility community? Please click on the "edit" tab above and follow the instructions.<br />
<br />
<!-- --------------------------------------------------------------------------<br />
HOW TO ADD YOUR OWN LINK:<br />
<br />
Add your reference in the same form as the references below in the proper section. E.g.:<br />
* [url space text-to-displayed] <br />
------------------------------------------------------------------------------ --><br />
<br />
'''Germany'''<br />
* [https://www.dfg.de/en/research_funding/programmes/infrastructure/scientific_instrumentation/funding_opportunities/core_facilities/index.html DFG]<br />
* [https://www.embl.de/training/technology-developers-programme/ ARISE]<br />
<br />
'''France'''<br />
* x<br />
<br />
'''Europe'''<br />
* x<br />
<br />
'''USA'''<br />
* [https://grants.nih.gov/funding/searchguide/index.html#/ NIH]<br />
* [https://uh.edu/research/funding-opportunities/internal-awards/minor-cores/ University of Huston]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Visibility_and_Networking:_Recommendations&diff=598Visibility and Networking: Recommendations2021-03-01T12:43:55Z<p>Bjoern Gerlach: </p>
<hr />
<div>Register you CF and give it a unique ID to make it visible, to brand it, to track your publications and measure your outreach.<br />
<br />
== SciCrunch ==<br />
<br />
[https://scicrunch.org/ SciCrunch] Registry is a dynamic database of research resources (databases, data sets, software tools, materials and services) of interest to and produced by researchers. It is a free service. <br />
<br />
SciCrunch registers and assigns IDs (RRIDs) to a variety of resources, including software, data repositories, and core facilities. Each Research Resource receives a unique ID that allows it to be tracked in the literature and linked to useful information. <br />
<br />
'''RRID''' (https://www.rrids.org/)<br />
Research Resource Identifiers (RRID) are unique and persistent resource identifiers for referencing, searching und reusing research resources. <br />
<br />
'''Advantages''':<br />
Receiving a RRID for your Core Facility will give you a number of benefits including:<br />
* Your RRID can be used in publications to easily cite your facility. Many publishers are requiring authors to list the RRIDs for each research component in their papers and a core facility is definitely a research component.<br />
* Your RRID also links your facility information to a wider research network including [https://scicrunch.org/ SciCrunch], [https://myweb.fsu.edu/aglerum/usedit.html USEDit], [https://www.protocols.io/ Protocols.io], and more.<br />
* Your RRID also works with your [https://orcid.org/ ORCID] account [https://www.youtube.com/watch?v=a1Rijk_TMHA], so that any reference to your RRID also gets automatically listed in your ORCID profile. This is true for anyone who works in your facility who registers your facility RRID with their ORCID account. To learn how, [https://coremarketplace.org/blog/manual/rrid-orcid look here]<br />
* Your RRID also makes a convenient shortlink to your facility listing. [https://coremarketplace.org/RRID:SCR_019153 (for example)]<br />
<br />
'''How to do this?'''<br />
<br />
First register at [https://scicrunch.org/ SciCrunch] and link your account to your ORCID-ID.<br />
Then go to “Registry” and “create resource”. A core facility is a “service resource”.<br />
<br />
== CoreMarketplace ==<br />
<br />
[https://coremarketplace.org CoreMarketplace] is a worldwide database of core facilities. It originates from ABRF[www.abrf.org] and is linked to SciCrunch and RRID. It is a free service.<br />
<br />
== CatRIS ==<br />
<br />
[https://www.portal.catris.eu/ CatRIS] is a portal providing information (organised in a Catalogue) about Research Infrastructure Services in Europe focusing on Physical Research Infrastructures (RIs), Core Facilities (CFs) and Shared Scientific Resources (SSRs). It originates from CTLS[www.ctls-org.eu].<br />
<br />
== Core Facilities associations ==<br />
<br />
* [https://ctls-org.eu/ '''CTLS'''] (Core Technologies for Life Sciences) is a non-profit association that brings together scientists, technical and administrative staff working at or in close association with shared resource laboratories, such as core facilities (CFs), technological platforms and research infrastructures. CTLS provides a platform to network, discuss emerging methods or technologies, exchange information on benchmarks and best practices, and to support career development of its members at all stages of their working life, from young trainees to senior personnel. With paying membership.<br />
<br />
* [https://abrf.org/ '''ABRF'''] is a unique membership association comprising over 700 members working within or in the support of resource and research biotechnology laboratories. Our members represent over 340 laboratories and administrative offices in government, academia, research, industry and commercial settings. The ABRF promotes the education and career advancement of scientists through conferences, a quarterly journal, publication of research group studies and conference travel awards. The society also sponsors multi-center research studies designed to help members incorporate new biotechnologies into their laboratories. With paying membership.<br />
<br />
* [https://coreforlife.eu/ '''Core for Life'''] Workgroups, workshops, conferences, Newsletter<br />
<br />
== Private networking platforms ==<br />
<br />
* [https://www.scientist.com/ Scientist.com]<br />
* [https://www.scienceexchange.com/ ScienceExchange]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Visibility_and_Networking:_Recommendations&diff=597Visibility and Networking: Recommendations2021-03-01T12:43:12Z<p>Bjoern Gerlach: </p>
<hr />
<div>Register you CF and give it a unique ID to make it visible, to brand it, to track your publications and measure your outreach.<br />
<br />
== SciCrunch ==<br />
<br />
[https://scicrunch.org/ SciCrunch] Registry is a dynamic database of research resources (databases, data sets, software tools, materials and services) of interest to and produced by researchers. It is a free service. <br />
<br />
SciCrunch registers and assigns IDs (RRIDs) to a variety of resources, including software, data repositories, and core facilities. Each Research Resource receives a unique ID that allows it to be tracked in the literature and linked to useful information. <br />
<br />
'''RRID''' (https://www.rrids.org/)<br />
Research Resource Identifiers (RRID) are unique and persistent resource identifiers for referencing, searching und reusing research resources. <br />
<br />
'''Advantages''':<br />
Receiving a RRID for your Core Facility will give you a number of benefits including:<br />
* Your RRID can be used in publications to easily cite your facility. Many publishers are requiring authors to list the RRIDs for each research component in their papers and a core facility is definitely a research component.<br />
* Your RRID also links your facility information to a wider research network including [https://scicrunch.org/ SciCrunch], [https://myweb.fsu.edu/aglerum/usedit.html USEDit], [https://www.protocols.io/ Protocols.io], and more.<br />
* Your RRID also works with your [https://orcid.org/ ORCID] account [https://www.youtube.com/watch?v=a1Rijk_TMHA], so that any reference to your RRID also gets automatically listed in your ORCID profile. This is true for anyone who works in your facility who registers your facility RRID with their ORCID account. To learn how, [https://coremarketplace.org/blog/manual/rrid-orcid look here]<br />
* Your RRID also makes a convenient shortlink to your facility listing. [https://coremarketplace.org/RRID:SCR_019153 (for example)]<br />
<br />
'''How to do this?'''<br />
<br />
First register at [https://scicrunch.org/ SciCrunch] and link your account to your ORCID-ID.<br />
Then go to “Registry” and “create resource”. A core facility is a “service resource”.<br />
<br />
== CoreMarketplace ==<br />
<br />
[https://coremarketplace.org CoreMarketplace] is a worldwide database of core facilities. It originates from ABRF[www.abrf.org] and is linked to SciCrunch and RRID. It is a free service.<br />
<br />
== CatRIS ==<br />
<br />
[https://www.portal.catris.eu/ CatRIS] is a portal providing information (organised in a Catalogue) about Research Infrastructure Services in Europe focusing on Physical Research Infrastructures (RIs), Core Facilities (CFs) and Shared Scientific Resources (SSRs). It originates from CTLS[www.ctls-org.eu].<br />
<br />
== Core Facilities associations ==<br />
<br />
* [https://ctls-org.eu/ '''CTLS'''] (Core Technologies for Life Sciences) is a non-profit association that brings together scientists, technical and administrative staff working at or in close association with shared resource laboratories, such as core facilities (CFs), technological platforms and research infrastructures. CTLS provides a platform to network, discuss emerging methods or technologies, exchange information on benchmarks and best practices, and to support career development of its members at all stages of their working life, from young trainees to senior personnel. With paying membership.<br />
<br />
* [https://abrf.org/ '''ABRF'''] is a unique membership association comprising over 700 members working within or in the support of resource and research biotechnology laboratories. Our members represent over 340 laboratories and administrative offices in government, academia, research, industry and commercial settings. The ABRF promotes the education and career advancement of scientists through conferences, a quarterly journal, publication of research group studies and conference travel awards. The society also sponsors multi-center research studies designed to help members incorporate new biotechnologies into their laboratories. With paying membership.<br />
<br />
* [https://coreforlife.eu/ '''Core for Life''']<br />
Workgroups, workshops, conferences, Newsletter<br />
<br />
== Private networking platforms ==<br />
<br />
* [https://www.scientist.com/ Scientist.com]<br />
* [https://www.scienceexchange.com/ ScienceExchange]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Visibility_and_Networking:_Recommendations&diff=596Visibility and Networking: Recommendations2021-03-01T12:41:02Z<p>Bjoern Gerlach: </p>
<hr />
<div>Register you CF and give it a unique ID to make it visible, to brand it, to track your publications and measure your outreach.<br />
<br />
== SciCrunch ==<br />
<br />
[https://scicrunch.org/ SciCrunch]<br />
<br />
SciCrunch Registry is a dynamic database of research resources (databases, data sets, software tools, materials and services) of interest to and produced by researchers. It is a free service. <br />
<br />
SciCrunch registers and assigns IDs (RRIDs) to a variety of resources, including software, data repositories, and core facilities. Each Research Resource receives a unique ID that allows it to be tracked in the literature and linked to useful information. <br />
<br />
'''RRID''' (https://www.rrids.org/)<br />
Research Resource Identifiers (RRID) are unique and persistent resource identifiers for referencing, searching und reusing research resources. <br />
<br />
'''Advantages''':<br />
Receiving a RRID for your Core Facility will give you a number of benefits including:<br />
* Your RRID can be used in publications to easily cite your facility. Many publishers are requiring authors to list the RRIDs for each research component in their papers and a core facility is definitely a research component.<br />
* Your RRID also links your facility information to a wider research network including [https://scicrunch.org/ SciCrunch], [https://myweb.fsu.edu/aglerum/usedit.html USEDit], [https://www.protocols.io/ Protocols.io], and more.<br />
* Your RRID also works with your [https://orcid.org/ ORCID] account [https://www.youtube.com/watch?v=a1Rijk_TMHA], so that any reference to your RRID also gets automatically listed in your ORCID profile. This is true for anyone who works in your facility who registers your facility RRID with their ORCID account. To learn how, [https://coremarketplace.org/blog/manual/rrid-orcid look here]<br />
* Your RRID also makes a convenient shortlink to your facility listing. [https://coremarketplace.org/RRID:SCR_019153 (for example)]<br />
<br />
'''How to do this?'''<br />
<br />
First register at [https://scicrunch.org/ SciCrunch] and link your account to your ORCID-ID.<br />
Then go to “Registry” and “create resource”. A core facility is a “service resource”.<br />
<br />
== CoreMarketplace ==<br />
<br />
[https://coremarketplace.org CoreMarketplace]<br />
<br />
CoreMarketplace is a worldwide database of core facilities. It originates from ABRF[www.abrf.org] and is linked to SciCrunch and RRID. It is a free service.<br />
<br />
== CatRIS ==<br />
<br />
[https://www.portal.catris.eu/ Portal to CatRIS]<br />
<br />
A portal providing information (organised in a Catalogue) about Research Infrastructure Services in Europe focusing on Physical Research Infrastructures (RIs), Core Facilities (CFs) and Shared Scientific Resources (SSRs). It originates from CTLS[www.ctls-org.eu].<br />
<br />
== Core Facilities associations ==<br />
<br />
* [https://ctls-org.eu/ '''CTLS'''] <br />
Core Technologies for Life Sciences (CTLS) is a non-profit association that brings together scientists, technical and administrative staff working at or in close association with shared resource laboratories, such as core facilities (CFs), technological platforms and research infrastructures. CTLS provides a platform to network, discuss emerging methods or technologies, exchange information on benchmarks and best practices, and to support career development of its members at all stages of their working life, from young trainees to senior personnel. With paying membership.<br />
<br />
* [https://abrf.org/ '''ABRF''']<br />
ABRF is a unique membership association comprising over 700 members working within or in the support of resource and research biotechnology laboratories. Our members represent over 340 laboratories and administrative offices in government, academia, research, industry and commercial settings. The ABRF promotes the education and career advancement of scientists through conferences, a quarterly journal, publication of research group studies and conference travel awards. The society also sponsors multi-center research studies designed to help members incorporate new biotechnologies into their laboratories. With paying membership.<br />
<br />
* [https://coreforlife.eu/ '''Core for Life''']<br />
Workgroups, workshops, conferences, Newsletter<br />
<br />
== Private networking platforms ==<br />
<br />
* [https://www.scientist.com/ Scientist.com]<br />
* [https://www.scienceexchange.com/ ScienceExchange]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Visibility_and_Networking:_Recommendations&diff=595Visibility and Networking: Recommendations2021-03-01T12:40:30Z<p>Bjoern Gerlach: </p>
<hr />
<div>Register you CF and give it a unique ID to make it visible, to brand it, to track your publications and measure your outreach.<br />
<br />
== SciCrunch ==<br />
<br />
https://scicrunch.org/ <br />
<br />
SciCrunch Registry is a dynamic database of research resources (databases, data sets, software tools, materials and services) of interest to and produced by researchers. It is a free service. <br />
<br />
SciCrunch registers and assigns IDs (RRIDs) to a variety of resources, including software, data repositories, and core facilities. Each Research Resource receives a unique ID that allows it to be tracked in the literature and linked to useful information. <br />
<br />
'''RRID''' (https://www.rrids.org/)<br />
Research Resource Identifiers (RRID) are unique and persistent resource identifiers for referencing, searching und reusing research resources. <br />
<br />
'''Advantages''':<br />
Receiving a RRID for your Core Facility will give you a number of benefits including:<br />
* Your RRID can be used in publications to easily cite your facility. Many publishers are requiring authors to list the RRIDs for each research component in their papers and a core facility is definitely a research component.<br />
* Your RRID also links your facility information to a wider research network including [https://scicrunch.org/ SciCrunch], [https://myweb.fsu.edu/aglerum/usedit.html USEDit], [https://www.protocols.io/ Protocols.io], and more.<br />
* Your RRID also works with your [https://orcid.org/ ORCID] account [https://www.youtube.com/watch?v=a1Rijk_TMHA], so that any reference to your RRID also gets automatically listed in your ORCID profile. This is true for anyone who works in your facility who registers your facility RRID with their ORCID account. To learn how, [https://coremarketplace.org/blog/manual/rrid-orcid look here]<br />
* Your RRID also makes a convenient shortlink to your facility listing. [https://coremarketplace.org/RRID:SCR_019153 (for example)]<br />
<br />
'''How to do this?'''<br />
<br />
First register at [https://scicrunch.org/ SciCrunch] and link your account to your ORCID-ID.<br />
Then go to “Registry” and “create resource”. A core facility is a “service resource”.<br />
<br />
== CoreMarketplace ==<br />
<br />
[https://coremarketplace.org CoreMarketplace]<br />
<br />
CoreMarketplace is a worldwide database of core facilities. It originates from ABRF[www.abrf.org] and is linked to SciCrunch and RRID. It is a free service.<br />
<br />
== CatRIS ==<br />
<br />
[https://www.portal.catris.eu/ Portal to CatRIS]<br />
<br />
A portal providing information (organised in a Catalogue) about Research Infrastructure Services in Europe focusing on Physical Research Infrastructures (RIs), Core Facilities (CFs) and Shared Scientific Resources (SSRs). It originates from CTLS[www.ctls-org.eu].<br />
<br />
== Core Facilities associations ==<br />
<br />
* [https://ctls-org.eu/ '''CTLS'''] <br />
Core Technologies for Life Sciences (CTLS) is a non-profit association that brings together scientists, technical and administrative staff working at or in close association with shared resource laboratories, such as core facilities (CFs), technological platforms and research infrastructures. CTLS provides a platform to network, discuss emerging methods or technologies, exchange information on benchmarks and best practices, and to support career development of its members at all stages of their working life, from young trainees to senior personnel. With paying membership.<br />
<br />
* [https://abrf.org/ '''ABRF''']<br />
ABRF is a unique membership association comprising over 700 members working within or in the support of resource and research biotechnology laboratories. Our members represent over 340 laboratories and administrative offices in government, academia, research, industry and commercial settings. The ABRF promotes the education and career advancement of scientists through conferences, a quarterly journal, publication of research group studies and conference travel awards. The society also sponsors multi-center research studies designed to help members incorporate new biotechnologies into their laboratories. With paying membership.<br />
<br />
* [https://coreforlife.eu/ '''Core for Life''']<br />
Workgroups, workshops, conferences, Newsletter<br />
<br />
== Private networking platforms ==<br />
<br />
* [https://www.scientist.com/ Scientist.com]<br />
* [https://www.scienceexchange.com/ ScienceExchange]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Visibility_and_Networking:_Recommendations&diff=594Visibility and Networking: Recommendations2021-03-01T12:39:33Z<p>Bjoern Gerlach: </p>
<hr />
<div>Register you CF and give it a unique ID to make it visible, to brand it, to track your publications and measure your outreach.<br />
<br />
== SciCrunch ==<br />
<br />
https://scicrunch.org/ <br />
<br />
SciCrunch Registry is a dynamic database of research resources (databases, data sets, software tools, materials and services) of interest to and produced by researchers. It is a free service. <br />
<br />
SciCrunch registers and assigns IDs (RRIDs) to a variety of resources, including software, data repositories, and core facilities. Each Research Resource receives a unique ID that allows it to be tracked in the literature and linked to useful information. <br />
<br />
'''RRID''' (https://www.rrids.org/)<br />
Research Resource Identifiers (RRID) are unique and persistent resource identifiers for referencing, searching und reusing research resources. <br />
<br />
'''Advantages''':<br />
Receiving a RRID for your Core Facility will give you a number of benefits including:<br />
* Your RRID can be used in publications to easily cite your facility. Many publishers are requiring authors to list the RRIDs for each research component in their papers and a core facility is definitely a research component.<br />
* Your RRID also links your facility information to a wider research network including [https://scicrunch.org/ SciCrunch], [https://myweb.fsu.edu/aglerum/usedit.html USEDit], [https://www.protocols.io/ Protocols.io], and more.<br />
* Your RRID also works with your [https://orcid.org/ ORCID] account [https://www.youtube.com/watch?v=a1Rijk_TMHA], so that any reference to your RRID also gets automatically listed in your ORCID profile. This is true for anyone who works in your facility who registers your facility RRID with their ORCID account. To learn how, [https://coremarketplace.org/blog/manual/rrid-orcid look here]<br />
* Your RRID also makes a convenient shortlink to your facility listing. [https://coremarketplace.org/RRID:SCR_019153 (for example)]<br />
<br />
'''How to do this?'''<br />
<br />
First register at [https://scicrunch.org/ SciCrunch] and link your account to your ORCID-ID.<br />
Then go to “Registry” and “create resource”. A core facility is a “service resource”.<br />
<br />
== CoreMarketplace ==<br />
<br />
https://coremarketplace.org<br />
<br />
CoreMarketplace is a worldwide database of core facilities. It originates from ABRF[www.abrf.org] and is linked to SciCrunch and RRID. It is a free service.<br />
<br />
== CatRIS ==<br />
<br />
[https://www.portal.catris.eu/ Portal to CatRIS]<br />
<br />
A portal providing information (organised in a Catalogue) about Research Infrastructure Services in Europe focusing on Physical Research Infrastructures (RIs), Core Facilities (CFs) and Shared Scientific Resources (SSRs). It originates from CTLS[www.ctls-org.eu].<br />
<br />
== Core Facilities associations ==<br />
<br />
* [https://ctls-org.eu/ '''CTLS'''] <br />
Core Technologies for Life Sciences (CTLS) is a non-profit association that brings together scientists, technical and administrative staff working at or in close association with shared resource laboratories, such as core facilities (CFs), technological platforms and research infrastructures. CTLS provides a platform to network, discuss emerging methods or technologies, exchange information on benchmarks and best practices, and to support career development of its members at all stages of their working life, from young trainees to senior personnel. With paying membership.<br />
<br />
* [https://abrf.org/ '''ABRF''']<br />
ABRF is a unique membership association comprising over 700 members working within or in the support of resource and research biotechnology laboratories. Our members represent over 340 laboratories and administrative offices in government, academia, research, industry and commercial settings. The ABRF promotes the education and career advancement of scientists through conferences, a quarterly journal, publication of research group studies and conference travel awards. The society also sponsors multi-center research studies designed to help members incorporate new biotechnologies into their laboratories. With paying membership.<br />
<br />
* [https://coreforlife.eu/ '''Core for Life''']<br />
Workgroups, workshops, conferences, Newsletter<br />
<br />
== Private networking platforms ==<br />
<br />
* [https://www.scientist.com/ Scientist.com]<br />
* [https://www.scienceexchange.com/ ScienceExchange]</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Website:_Recommendations&diff=593Website: Recommendations2021-03-01T12:21:30Z<p>Bjoern Gerlach: </p>
<hr />
<div>Your website should be '''visible''' on the internet to promote your facility and to attract new customers.<br />
It should be designed for the users so that it is '''comprehensive''', '''clear''' and '''easy''' to navigate [[:File:Core Facility Website.pptx|(here is a '''template''')]].<br />
<br />
<br />
Design one part with all the “public” information, such as:<br />
* service you provide, your expertise<br />
* list of your equipment (with photos)<br />
* your team <br />
* contact and directions to your facility (with photos)<br />
* news from your facility (if kept updated)<br />
* quality concept, mission<br />
* pricing<br />
* your research (if you perform any) <br />
* health and safety<br />
* maybe also the FAQs, a glossary, your publications, a chat window…<br />
<br />
<br />
In addition, make a “private” area where your user can find: <br />
* booking of equipment<br />
* all forms (such as the user agreement, contract, necessary guidelines, distribution of responsibilities, how the facility should be acknowledged)<br />
* training <br />
* equipment list with specific and detailed information regarding experimental design, sample preparation, protocols (SOPs), example and guideline on how to analyse the data, template to write the material and methods, related publications using such equipment)<br />
* raw data access and storage<br />
* billing status</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Data_analysis:_Recommendations&diff=542Data analysis: Recommendations2021-02-26T15:11:04Z<p>Bjoern Gerlach: </p>
<hr />
<div>[[Responsibility: Recommendations|'''Define''']] '''who''' will perform the data analysis.<br />
<br />
Provide guidance/training how to [https://eqipd-toolbox.paasp.net/wiki/2.3.2_Primary_analysis_and_evaluation_of_raw_data analyse data] (+[https://eqipd-toolbox.paasp.net/wiki/2.3.3_Statistical_analysis statistical analysis]). Perform [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinded] analysis if possible. <br />
<br />
[[Responsibility: Recommendations|'''Define''']] '''who''' will check the data analysis. A [[Quality checkpoints: Recommendations|'''data analysis checkpoint''']] is important to avoid misinterpretation and bias. If the user analyses the data on its own, decide who will check/supervise the analysis (CF staff or PI or specialist). (see [[Responsibility: Recommendations|responsibility]])<br />
<br />
Analysed data should never override raw data. Do not forget to link the analysed data to the raw data, so that they are traceable.</div>Bjoern Gerlachhttp://q-cofa-wiki.paasp.net/index.php?title=Experimental_design:_Recommendations&diff=536Experimental design: Recommendations2021-02-22T16:25:42Z<p>Bjoern Gerlach: </p>
<hr />
<div>Give advice on experimental design to the user '''in person''' (recommended) and as '''written guidance'''.<br />
The users should receive training how to design the experiment properly. (Online training can be also found at NIH, Johns Hopkins University, Harvard University or at the Center for Open Science).<br />
<br />
The CF/PI/specialist should [[Quality checkpoints: Recommendations|'''check''']] the experimental design before proceeding further to ensure the results will be meaningful and to avoid a waste of money and resources. Many CFs find it important of being involved in the project from the very beginning. Study design flaws are a key source of irreproducibility [https://pubmed.ncbi.nlm.nih.gov/27225100/].<br />
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Encourage the users to develop and adhere to a rigorous study plan before starting experiments, including the following recommendations:<br />
* [https://eqipd-toolbox.paasp.net/wiki/2.1.4_Purpose_of_research Hypothesis] is defined before starting experiment<br />
* Methods are appropriate<br />
* Defined experimental conditions<br />
* Defined [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis samples size]<br />
* Relevant controls included<br />
* Replication of the experiment<br />
* [https://eqipd-toolbox.paasp.net/wiki/2.1.8_Randomisation Randomization] and [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinding] of the samples<br />
* [https://eqipd-toolbox.paasp.net/wiki/2.1.9_Inclusion_and_exclusion_criteria Data inclusion/exclusion criteria] are pre-defined<br />
* [https://eqipd-toolbox.paasp.net/wiki/2.3.2_Primary_analysis_and_evaluation_of_raw_data Data analysis] and [https://eqipd-toolbox.paasp.net/wiki/2.3.3_Statistical_analysis statistical analysis] of results are pre-defined</div>Bjoern Gerlach