학술논문
A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research.
Document Type
Academic Journal
Author
Moresis A; Roche Pharma Research and Early Development, Data & Analytics, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.; Restivo L; Neuro-Behavioral Analysis Unit, Faculty of Biology & Medicine, University of Lausanne, Lausanne, Switzerland.; Bromilow S; Group Legal Department, F. Hoffmann-La Roche Ltd, Basel, Switzerland.; Flik G; Discovery, Charles River Laboratories, Groningen, the Netherlands.; Rosati G; Tecniplast S.p.A., Buguggiate, Italy.; Scorrano F; Emerging Technologies, Comparative Medicine, Novartis International AG, Basel, Switzerland.; Tsoory M; Behavioral and Physiological Phenotyping Unit, Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.; O'Connor EC; Roche Pharma Research and Early Development, Neuroscience & Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. eoin.oconnor@roche.com.; Gaburro S; Tecniplast S.p.A., Buguggiate, Italy. stefano.gaburro@tecniplast.it.; Bannach-Brown A; QUEST Center for Responsible Research, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany. Alexandra.Bannach-Brown@charite.de.
Source
Publisher: Nature America Country of Publication: United States NLM ID: 0417737 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-4475 (Electronic) Linking ISSN: 00937355 NLM ISO Abbreviation: Lab Anim (NY) Subsets: MEDLINE
Subject
Language
English
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.
(© 2024. The Author(s).)
(© 2024. The Author(s).)