Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Ten Simple Rules for FAIR Sharing of Experimental and Clinical Data with the Modeling Community

Matthias König
* ORCID logo ,
Jan Grzegorzewski
,
Martin Golebiewski
,
Henning Hermjakob
,
Mike Hucka
,
Brett Olivier
,
Sarah Keating
,
David Nickerson
,
Falk Schreiber
,
Rahuman Sheriff
ORCID logo ,
Dagmar Waltemath
Version 1 : Received: 13 August 2021 / Approved: 13 August 2021 / Online: 13 August 2021 (15:41:40 CEST)
Version 2 : Received: 18 November 2021 / Approved: 19 November 2021 / Online: 19 November 2021 (08:38:42 CET)

How to cite: König, M.; Grzegorzewski, J.; Golebiewski, M.; Hermjakob, H.; Hucka, M.; Olivier, B.; Keating, S.; Nickerson, D.; Schreiber, F.; Sheriff, R.; Waltemath, D. Ten Simple Rules for FAIR Sharing of Experimental and Clinical Data with the Modeling Community. Preprints 2021, 2021080303. https://doi.org/10.20944/preprints202108.0303.v2 König, M.; Grzegorzewski, J.; Golebiewski, M.; Hermjakob, H.; Hucka, M.; Olivier, B.; Keating, S.; Nickerson, D.; Schreiber, F.; Sheriff, R.; Waltemath, D. Ten Simple Rules for FAIR Sharing of Experimental and Clinical Data with the Modeling Community. Preprints 2021, 2021080303. https://doi.org/10.20944/preprints202108.0303.v2

Abstract

Science continues to become more interdisciplinary and to involve increasingly complex data sets. Many projects in the biomedical and health-related sciences follow or aim to follow the principles of FAIR data sharing, which has been demonstrated to foster collaboration, to lead to better research outcomes, and to help ensure reproducibility of results. Data generated in the course of biomedical and health research present specific challenges for FAIR sharing in the sense that they are heterogeneous and highly sensitive to context and the needs of protection and privacy. Data sharing must respect these features without impeding timely dissemination of results, so that they can contribute to time-critical advances in medical therapy and treatment. Modeling and simulation of biomedical processes have become established tools, and a global community has been developing algorithms, methodologies, and standards for applying biomedical simulation models in clinical research. However, it can be difficult for clinician scientists to follow the specific rules and recommendations for FAIR data sharing within this domain. We seek to clarify the standard workflow for sharing experimental and clinical data with the simulation modeling community. By following these recommendations, data sharing will be improved, collaborations will become more effective, and the FAIR publication and subsequent reuse of data will become possible at the level of quality necessary to support biomedical and health-related sciences.

Keywords

data sharing; FAIR

Subject

Biology and Life Sciences, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (1)

Comment 1
Received: 19 November 2021
Commenter: Matthias König
Commenter's Conflict of Interests: Author
Comment: * improved discussion
* improved introduction
* additional literature citations
* feedback co-authors integrated
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