A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research

Anastasios Moresis; Leonardo Restivo; Sophie Bromilow; Gunnar Flik; Giorgio Rosati; Fabrizio Scorrano; Michael Tsoory; Eoin C. O’Connor; Stefano Gaburro; Alexandra Bannach-Brown

doi:10.1038/s41684-024-01335-0

A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research

Anastasios Moresis, Leonardo Restivo, Sophie Bromilow, Gunnar Flik, Giorgio Rosati, Fabrizio Scorrano, Michael Tsoory, Eoin C. O’Connor^*, Stefano Gaburro^*, Alexandra Bannach-Brown^*

^*Corresponding author for this work

Department of Veterinary Resources

Research output: Contribution to journal › Article › peer-review

Abstract

Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary objective for science: building upon existing knowledge. Data collected that lack appropriate metadata cannot be fully interrogated or integrated into new research projects, leading to wasted resources and missed opportunities for data repurposing. This issue is particularly acute for research using animals, where concerns regarding data reproducibility and ensuring animal welfare are paramount. Here, to address this problem, we propose a minimal metadata set (MNMS) designed to enable the repurposing of in vivo data. MNMS aligns with an existing validated guideline for reporting in vivo data (ARRIVE 2.0) and contributes to making in vivo data FAIR-compliant. Scenarios where MNMS should be implemented in diverse research environments are presented, highlighting opportunities and challenges for data repurposing at different scales. We conclude with a ‘call for action’ to key stakeholders in biomedical research to adopt and apply MNMS to accelerate both the advancement of knowledge and the betterment of animal welfare.

Original language	English
Pages (from-to)	67-79
Number of pages	13
Journal	Lab Animal
Volume	53
Issue number	3
DOIs	https://doi.org/10.1038/s41684-024-01335-0
Publication status	Published - Mar 2024

Bibliographical note

We thank M. Markert (Boehringer Ingelheim) and Y.-P. Zhang (F. Hoffmann-La Roche) for initial discussions on the manuscript concept, and D. Roqueiro, M. Ghraichy, Y.-P. Zhang and colleagues in Data & Analytics, Roche Pharma Research and Early Development, F. Hoffmann-La Roche for support in developing the database illustrated in Fig. 2. L.R., G.R., F.S., M.T., E.C.O. and S.G. are members of the COST Action CA20135 (TEATIME). We thank S. Dalla Costa (Tecniplast S.p.A.) for the graphics of Fig. 3. A.B.-B. is funded by an ‘Impulse für das Wissenschaftssystem’ grant from Volkswagen Foundation, Germany. M.T. is the incumbent of the Carolito Stiftung Research Fellow Chair in Neurodegenerative Diseases.

Publisher Copyright:
© The Author(s) 2024.

All Science Journal Classification (ASJC) codes

Animal Science and Zoology
General Veterinary

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10.1038/s41684-024-01335-0Licence: CC BY

Cite this

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title = "A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research",

abstract = "Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary objective for science: building upon existing knowledge. Data collected that lack appropriate metadata cannot be fully interrogated or integrated into new research projects, leading to wasted resources and missed opportunities for data repurposing. This issue is particularly acute for research using animals, where concerns regarding data reproducibility and ensuring animal welfare are paramount. Here, to address this problem, we propose a minimal metadata set (MNMS) designed to enable the repurposing of in vivo data. MNMS aligns with an existing validated guideline for reporting in vivo data (ARRIVE 2.0) and contributes to making in vivo data FAIR-compliant. Scenarios where MNMS should be implemented in diverse research environments are presented, highlighting opportunities and challenges for data repurposing at different scales. We conclude with a {\textquoteleft}call for action{\textquoteright} to key stakeholders in biomedical research to adopt and apply MNMS to accelerate both the advancement of knowledge and the betterment of animal welfare.",

author = "Anastasios Moresis and Leonardo Restivo and Sophie Bromilow and Gunnar Flik and Giorgio Rosati and Fabrizio Scorrano and Michael Tsoory and O{\textquoteright}Connor, {Eoin C.} and Stefano Gaburro and Alexandra Bannach-Brown",

note = "We thank M. Markert (Boehringer Ingelheim) and Y.-P. Zhang (F. Hoffmann-La Roche) for initial discussions on the manuscript concept, and D. Roqueiro, M. Ghraichy, Y.-P. Zhang and colleagues in Data & Analytics, Roche Pharma Research and Early Development, F. Hoffmann-La Roche for support in developing the database illustrated in Fig. 2. L.R., G.R., F.S., M.T., E.C.O. and S.G. are members of the COST Action CA20135 (TEATIME). We thank S. Dalla Costa (Tecniplast S.p.A.) for the graphics of Fig. 3. A.B.-B. is funded by an {\textquoteleft}Impulse f{\"u}r das Wissenschaftssystem{\textquoteright} grant from Volkswagen Foundation, Germany. M.T. is the incumbent of the Carolito Stiftung Research Fellow Chair in Neurodegenerative Diseases. Publisher Copyright: {\textcopyright} The Author(s) 2024.",

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AU - Rosati, Giorgio

AU - Scorrano, Fabrizio

AU - Tsoory, Michael

AU - O’Connor, Eoin C.

AU - Gaburro, Stefano

AU - Bannach-Brown, Alexandra

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N2 - Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary objective for science: building upon existing knowledge. Data collected that lack appropriate metadata cannot be fully interrogated or integrated into new research projects, leading to wasted resources and missed opportunities for data repurposing. This issue is particularly acute for research using animals, where concerns regarding data reproducibility and ensuring animal welfare are paramount. Here, to address this problem, we propose a minimal metadata set (MNMS) designed to enable the repurposing of in vivo data. MNMS aligns with an existing validated guideline for reporting in vivo data (ARRIVE 2.0) and contributes to making in vivo data FAIR-compliant. Scenarios where MNMS should be implemented in diverse research environments are presented, highlighting opportunities and challenges for data repurposing at different scales. We conclude with a ‘call for action’ to key stakeholders in biomedical research to adopt and apply MNMS to accelerate both the advancement of knowledge and the betterment of animal welfare.

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A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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