Difference between revisions of "Experimental design: Recommendations"

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Give advice on experimental design to the user '''in person''' (recommended) and as '''written guidance'''.
 
Give advice on experimental design to the user '''in person''' (recommended) and as '''written guidance'''.
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).
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The users should receive training how to design the experiment properly. (Online training can be also found at NIH [https://www.orf.od.nih.gov/TechnicalResources/Pages/Training.aspx] [https://hr.nih.gov/training-center] [https://orip.nih.gov/workshop-efficient-management-and-utilization-core-facilities], Johns Hopkins University [https://www.coursera.org/jhu] [https://ocw.jhsph.edu/], Harvard University [https://cores.fas.harvard.edu/on-demand] [https://online-learning.harvard.edu/catalog] [https://www.edx.org/school/harvardx] or at the Center for Open Science [https://www.cos.io/services/training] [https://osf.io/wnfmc/wiki/Open%20Science%20Training%20Resources/] [https://osf.io/7gqsi/] [https://www.fosteropenscience.eu/toolkit]).
  
 
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/].
 
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/].
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* [https://eqipd-toolbox.paasp.net/wiki/2.1.4_Purpose_of_research Hypothesis] is defined before starting experiment
 
* [https://eqipd-toolbox.paasp.net/wiki/2.1.4_Purpose_of_research Hypothesis] is defined before starting experiment
 
* Methods are appropriate
 
* Methods are appropriate
* Defined experimental conditions
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* Experimental conditions are defined
* Defined [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis samples size]
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* [https://eqipd-toolbox.paasp.net/wiki/2.1.6_Sample_size_and_power_analysis Samples size] is defined
* Relevant controls included
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* Relevant controls are included
* Replication of the experiment
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* Experiment is replicated
* [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
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* Samples are [https://eqipd-toolbox.paasp.net/wiki/2.1.8_Randomisation randomized] and [https://eqipd-toolbox.paasp.net/wiki/2.1.7_Blinding blinded]
 
* [https://eqipd-toolbox.paasp.net/wiki/2.1.9_Inclusion_and_exclusion_criteria Data inclusion/exclusion criteria] are pre-defined
 
* [https://eqipd-toolbox.paasp.net/wiki/2.1.9_Inclusion_and_exclusion_criteria Data inclusion/exclusion criteria] are pre-defined
* [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
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* [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 the results are pre-defined.
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Latest revision as of 13:01, 24 March 2021

Give advice on experimental design to the user in person (recommended) and as written guidance. The users should receive training how to design the experiment properly. (Online training can be also found at NIH [1] [2] [3], Johns Hopkins University [4] [5], Harvard University [6] [7] [8] or at the Center for Open Science [9] [10] [11] [12]).

The CF/PI/specialist should 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 [13].

Encourage the users to develop and adhere to a rigorous study plan before starting experiments, including the following recommendations:


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