ReviewLab animal2024
A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research.
Review in Lab animal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Building a synthesis-ready research ecosystem: fostering collaboration and open science to accelerate biomedical translation.BMC medical research methodology · 2025Pooled it
- Challenges and expectations on the use of automated home cage monitoring for advancing laboratory animal care and welfare.Laboratory animals · 2026Article
- The 2025 FELASA Congress in Athens: From Aristotle to AI.Lab animal · 2026Article
- From observation to optimization: behavioral metrics that matter in KPI based home cage monitoring.Frontiers in behavioral neuroscience · 2026Review
- Data welfare is animal welfare: Building a WellFAIR research ecosystem.Neuroscience applied · 2026Article
- Advocating for automation in animal research: using home cage monitoring to advance welfare, reproducibility and scientific openness.Disease models & mechanisms · 2025Article
- A guide to developing harmonized research workflows in a team science context.Experimental neurology · 2025Review
- Forestwalk: A Machine Learning Workflow Brings New Insights Into Posture and Balance in Rodent Beam Walking.The European journal of neuroscience · 2025Article
- FAIR foundations of a novel indicator vault for non-communicable diseases in the European Union: feasibility study for effective contextualisation of indicators.Frontiers in digital health · 2025Article
- Review
- Designing and implementing solution-oriented team science initiatives-a chronic pain example.Frontiers in pain research (Lausanne, Switzerland) · 2025Review
- Validation framework forFrontiers in toxicology · 2024Review
- Big data and its impact on the 3Rs: a home cage monitoring oriented review.Frontiers in big data · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.