Difference between pages "3.5.3 Minimum reporting guidelines" and "3.1.2.1 Traceability of data and any person having impact on data"

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== ​​​A. Background & Definitions ==
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==A. Background & Definitions==
The purpose of the different Minimum Information (MI) guidelines is to ensure the data generated using the respective method or technique can be easily verified, analyzed and interpreted by the wider scientific community.
 
Ultimately, MI standards should ensure that information generated by using certain methods should be structured and organised in a way that facilitates data sharing, the verification of results and the re-use of data.
 
  
== B. Guidance & Expectations ==
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This item refers to one of the [[Core Requirements]]  (Core Requirement 8 - "Reported research outcomes must be traceable to experimental data") and is, therefore, considered as essential.
The concept of ‘Minimum Information’ standards was first introduced in 2001 by developing and publishing the MIAME (Minimum Information’ about a microarray experiment) guidelines. Here the authors provided detailed guidance on what information, specifications and meta data about an microarray experiment is crucial and important to be reported - so that any data sets generated can be used to their full potential and readers obtain a comprehensive understanding of the published experiment.
 
  
== C. Resources ==
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'''Traceability''': The ability to find the source of data (primary and secondary) and any person having relevant impact on data sets that are presented in a report or other presentation.
An overview of developed MI guidelines is provided by the FAIRsharing.org website (https://fairsharing.org/) with the possibility to search for specific techniques or methods of interest.
 
  
* [https://doi.org/10.25504/FAIRsharing.8vv5fc Minimum Information About a Proteomics Experiment (MIAPE)]
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'''Experimental Record''': An entry in an (electronic) laboratory notebook for an experiment recording all data and pertinent details of an experiment such that a peer could repeat the experiment.
* [https://doi.org/10.25504/FAIRsharing.28yec8 Minimum Information About a Bioinformatics investigation (MIABi)]
 
* [https://doi.org/10.25504/FAIRsharing.my19zk Minimum Information About a RNAi Experiment (MIARE)]
 
* [https://doi.org/10.25504/FAIRsharing.kcnjj2 Minimum Information about Flow Cytometry (MIFlowCyt)]
 
* [https://doi.org/10.25504/FAIRsharing.gt5caz Minimum Information about a Protein Affinity Reagent (MIAPAR)]
 
* [https://doi.org/10.25504/FAIRsharing.c2e4ab Minimum Information about Tissue Imaging (MITI)]
 
* [https://doi.org/10.25504/FAIRsharing.vh2ye1 Minimum Information About Cell Migration Experiment (MIACME)]
 
* [https://doi.org/10.25504/FAIRsharing.5pp7gn Minimum Information about a Neuroscience Investigation (MINI)]
 
* [https://fairsharing.org/4183 Minimum Information Standard for Engineered Organism Experiments (MIEO)]
 
* [https://doi.org/10.25504/FAIRsharing.IjUe3j Minimum Information about Peptide Array Experiment (MIAPepAE)]
 
* [https://doi.org/10.25504/FAIRsharing.ht22t4 Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE)]
 
* [https://doi.org/10.25504/FAIRsharing.wz1w7t Minimum Information About a Spinal Cord Injury experiment (MIASCI)]
 
* [https://doi.org/10.25504/FAIRsharing.jw7rq3 Minimum Information for Reporting Next Generation Sequencing Genotyping (MIRING)]
 
* [https://doi.org/10.25504/FAIRsharing.sbfp9e Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis (MIRAGE Glycan Microarray Analysis)]
 
* [https://doi.org/10.25504/FAIRsharing.mxz4jy Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE)]
 
* [https://doi.org/10.25504/FAIRsharing.n7src9 Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis (MIRAGE MS)]
 
* [https://doi.org/10.25504/FAIRsharing.jbg4kp Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment (MIDE)]
 
* [https://doi.org/10.25504/FAIRsharing.9mfexc Minimum Information About a Genotyping Experiment (MIGen)]
 
* [https://doi.org/10.25504/FAIRsharing.zj6y9h Minimum Information About a Simulation Experiment (MIASE)]
 
* [https://doi.org/10.25504/FAIRsharing.dt7hn8 Minimum Information About a Bioactive Entity (MIABE)]
 
* [https://doi.org/10.25504/FAIRsharing.32b10v Minimum Information About a Microarray Experiment (MIAME)]
 
* [https://doi.org/10.25504/FAIRsharing.bbb81t Minimum Information about a Stem Cell Experiment (MISCE)]
 
* [https://doi.org/10.25504/FAIRsharing.8z3xzh Minimum Information about a Molecular Interaction Experiment (MIMIx)]
 
* [https://doi.org/10.25504/FAIRsharing.wYScsE Minimum Information about Animal Toxicology Experiments In Vivo (MIATE/invivo)]
 
* [https://doi.org/10.25504/FAIRsharing.x7nef0 Minimum Information Model for Dielectric Measurements of Biological Tissues (MINDER)]
 
* [https://doi.org/10.25504/FAIRsharing.7d0yv9 Minimal Information About a Cellular Assay (MIACA)]
 
* [https://doi.org/10.25504/FAIRsharing.ca48xs Minimal Information About a Phylogenetic Analysis (MIAPA)]
 
* [https://doi.org/10.25504/FAIRsharing.a55z32 Minimal Information about a high throughput SEQuencing Experiment (MINSEQE)]
 
  
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The user must ensure the traceability and integrity of the data so that the reported results can be reconstructed.
back to [[Toolbox]]
 
  
Next item: [[4.1.1 Risk assessment]]​​
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Traceability is directly related to the FAIR principles that are endorsed by both [https://www.nature.com/articles/d41586-019-01720-7 academic]​ and [https://www.sciencedirect.com/science/article/pii/S1359644618303039?dgcid=raven_sd_via_email industry] research communities as well as by the growing number of funders.
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==B. Guidance & Expectations==
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* Each experimental record should contain or cross-reference/link to:
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** Names of all individuals involved in generating the content of the experimental record.
 +
** Specific research plan, objective, or hypothesis to be addressed by the experiment.
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** All protocols, standard operating procedures, test methods, statistical tools (and/or software used for data analysis) used.
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** Description of all materials and equipment used, including the source and lot number of all starting materials and test compounds.
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** Date each activity which was performed.
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** Location of records and materials: Clearly identified location(s) of data files and their content.
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** Other supporting information needed for independent analysis of raw data obtained in experiment and interpretation of results.
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** All raw, processed, and final/reported data generated in the experiment.
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** A proper cross-reference should be added if any raw data is kept separate from the experimental record and cannot be attached to the experimental record, or any raw data is obtained by other researchers performing supporting experiments.
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* Expectation: A qualified reviewer should be able to:
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** link figures, graphs, conclusions, and other summary data to the raw data that was processed/analyzed.
 +
** link the summary data to the corresponding experiment described in a lab notebook entry.
 +
** link the lab notebook entry to the raw data (e.g., where generated by an automated instrument).
 +
* All related experimental records and supporting research must be linked/cross-referenced in the main experiment (via the respective unique identifiers).
 +
* The raw data obtained in an experiment may be stored in a separate archival system but should be referenced in the experimental record (see [[3.1.2 Procedures for how and when to record data]]​).
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* If a new analysis of data from previous experimental records needs to be performed to generate a new result or conclusion, a new experimental record should be created, which should clearly cross-reference the earlier experimental records (by their unique identifiers) and conclusions reached.
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* The EQIPD template "Documentation Plan" located in folder 3.1 in the Dossier (and below in Section C) provides a central space to describe this Core Requirement. The document is also used in the Toolbox items [[3.1.4 Data security]] and [[2.3.1 Generation, recording, handling and archiving of raw data]]​.
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'''Extra care has to be taken:'''
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* The author(s), all individuals who participated and/or contributed to the experiment, including, where applicable, recorder(s) must be clearly identified, so that the data can be traced, by name and date to each individual's contribution. The above ensures that the record is attributable.
 +
* Clear guidelines and conventions on file-naming for all data files and experimental record should be established for consistency and traceability (see Traceability of data and any person having impact on data).
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 +
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For technical non-public reports (e.g. R&D reports used in regulatory submissions), it is easy and fairly common to provide direct references to a lab notebook containing the relevant information.
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 +
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For scientific publications, it is not common to include such references and the following options may be considered to establish traceability between published data and internal records:
 +
* develop a “for internal use” system (e.g. a plain Excel file accessible to all members of the research unit) where reports about completed studies (and associated manuscripts and publications) are matched with the corresponding unique study IDs
 +
* including unique study IDs or references to the laboratory notebooks in the publications themselves (e.g. in the supplementary materials)
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* include unique study IDs in the preregistered protocols
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 +
 
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'''PLEASE DO NOT FORGET'''
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* To ensure traceability, each experimental record should have a unique identifier in accordance with the applicable procedure(s), e.g., SOPs.
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* Responsibility for creating experimental records and documentation of the resulting data rests with the researcher who generates the data. If multiple researchers collaborate in data generation, then it should be identified as such.
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==C. Resources==
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[https://paasp.sharepoint.com/:w:/s/EQIPD/EQTANrsKHTVIqtO8LT-ZJIEBEUJVZI6siRLkHfliUD4gdA?e=GJusMa EQIPD Documentation Plan]

Latest revision as of 11:01, 20 September 2023

A. Background & Definitions

This item refers to one of the Core Requirements (Core Requirement 8 - "Reported research outcomes must be traceable to experimental data") and is, therefore, considered as essential.

Traceability: The ability to find the source of data (primary and secondary) and any person having relevant impact on data sets that are presented in a report or other presentation.

Experimental Record: An entry in an (electronic) laboratory notebook for an experiment recording all data and pertinent details of an experiment such that a peer could repeat the experiment.

The user must ensure the traceability and integrity of the data so that the reported results can be reconstructed.

Traceability is directly related to the FAIR principles that are endorsed by both academic​ and industry research communities as well as by the growing number of funders.


B. Guidance & Expectations

  • Each experimental record should contain or cross-reference/link to:
    • Names of all individuals involved in generating the content of the experimental record.
    • Specific research plan, objective, or hypothesis to be addressed by the experiment.
    • All protocols, standard operating procedures, test methods, statistical tools (and/or software used for data analysis) used.
    • Description of all materials and equipment used, including the source and lot number of all starting materials and test compounds.
    • Date each activity which was performed.
    • Location of records and materials: Clearly identified location(s) of data files and their content.
    • Other supporting information needed for independent analysis of raw data obtained in experiment and interpretation of results.
    • All raw, processed, and final/reported data generated in the experiment.
    • A proper cross-reference should be added if any raw data is kept separate from the experimental record and cannot be attached to the experimental record, or any raw data is obtained by other researchers performing supporting experiments.
  • Expectation: A qualified reviewer should be able to:
    • link figures, graphs, conclusions, and other summary data to the raw data that was processed/analyzed.
    • link the summary data to the corresponding experiment described in a lab notebook entry.
    • link the lab notebook entry to the raw data (e.g., where generated by an automated instrument).
  • All related experimental records and supporting research must be linked/cross-referenced in the main experiment (via the respective unique identifiers).
  • The raw data obtained in an experiment may be stored in a separate archival system but should be referenced in the experimental record (see 3.1.2 Procedures for how and when to record data​).
  • If a new analysis of data from previous experimental records needs to be performed to generate a new result or conclusion, a new experimental record should be created, which should clearly cross-reference the earlier experimental records (by their unique identifiers) and conclusions reached.
  • The EQIPD template "Documentation Plan" located in folder 3.1 in the Dossier (and below in Section C) provides a central space to describe this Core Requirement. The document is also used in the Toolbox items 3.1.4 Data security and 2.3.1 Generation, recording, handling and archiving of raw data​.


Extra care has to be taken:

  • The author(s), all individuals who participated and/or contributed to the experiment, including, where applicable, recorder(s) must be clearly identified, so that the data can be traced, by name and date to each individual's contribution. The above ensures that the record is attributable.
  • Clear guidelines and conventions on file-naming for all data files and experimental record should be established for consistency and traceability (see Traceability of data and any person having impact on data).


For technical non-public reports (e.g. R&D reports used in regulatory submissions), it is easy and fairly common to provide direct references to a lab notebook containing the relevant information.


For scientific publications, it is not common to include such references and the following options may be considered to establish traceability between published data and internal records:

  • develop a “for internal use” system (e.g. a plain Excel file accessible to all members of the research unit) where reports about completed studies (and associated manuscripts and publications) are matched with the corresponding unique study IDs
  • including unique study IDs or references to the laboratory notebooks in the publications themselves (e.g. in the supplementary materials)
  • include unique study IDs in the preregistered protocols


PLEASE DO NOT FORGET

  • To ensure traceability, each experimental record should have a unique identifier in accordance with the applicable procedure(s), e.g., SOPs.
  • Responsibility for creating experimental records and documentation of the resulting data rests with the researcher who generates the data. If multiple researchers collaborate in data generation, then it should be identified as such.


C. Resources

EQIPD Documentation Plan