A Case for Accelerating Standards to Achieve the FAIR Principles of Environmental Health Research Experimental Data

Nault, Rance; Cave, Matthew C.; Ludewig, Gabriele; Moseley, Hunter N. B.; Pennell, Kelly G.; Zacharewski, Tim

doi:10.1289/ehp11484

Cited by 1 publication

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Domain-specific solutions to assist researchers in creating datasets from their animal experiments have also been established. Examples include the Open Data Commons for Spinal Cord Injury and Traumatic Brain Injury 11 – 13 , and guidelines on the ‘Minimum Information about Animal Toxicology Experiments’ (MIATE) 14 – 16 . Meanwhile, the domain-agnostic and nonmandatory guidelines PREPARE 17 and ARRIVE 18 , 19 (see definition in Box 1 ) were also proposed as checklists for scientists when planning and reporting in vivo experiments, respectively.…”

Section: Mainmentioning

confidence: 99%

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

Moresis,

Restivo,

Bromilow

et al. 2024

Lab Anim

View full text Add to dashboard Cite

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.

show abstract