ArticleScientific data2023
FAIR in action - a flexible framework to guide FAIRification.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed.
- Trial
- The FAIR Case for A Coherent Interoperability to support NHS 10 Year Health Plan.Scientific data · 2026Article
- Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review.Journal of medical Internet research · 2026Article
- FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles.Scientific data · 2026Article
- Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review.Medical sciences (Basel, Switzerland) · 2026Review
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany.PLOS digital health · 2026Article
- Perceptions and Awareness of Healthcare Professionals Regarding FAIR Data Principles and Health Data Sharing in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines.PLoS computational biology · 2025Article
- FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine.Scientific data · 2025Article
- Affording reusable data: recommendations for researchers from a data-intensive project.Scientific data · 2025Article
- Preparing hospitals and health organizations for AI: practical guidelines for the required infrastructure.Frontiers in digital health · 2025Article
- The Innovative Health Initiative public-private partnership: a catalyst for big data-driven health research and innovation.Frontiers in medicine · 2025Article
- Byproduct-to-Host Ratios for Assessing the Accessibility of Mineral Resources.Environmental science & technology · 2024Article
- An integrated georeferenced dataset of public investments for soil defence in Italy.Data in brief · 2024Article
- Applying Findable, Accessible, Interoperable, and Reusable Principles to Biospecimens and Biobanks.Biopreservation and biobanking · 2024Article
- Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study.Online journal of public health informatics · 2024Article
- [FAIR health data in the national and international data space].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- Data sharing and reuse in clinical research: Are we there yet? A cross-sectional study on progress, challenges and opportunities in LMICs.PLOS global public health · 2024Article
- "Be sustainable": EOSC-Life recommendations for implementation of FAIR principles in life science data handling.The EMBO journal · 2023Article
- The Translational Data Catalog - discoverable biomedical datasets.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
Abstract
The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-agnostic FAIRification framework, providing practical guidance to improve the FAIRness for both existing and future clinical and molecular datasets. We validated the framework in collaboration with several major public-private partnership projects, demonstrating and delivering improvements across all aspects of FAIR and across a variety of datasets and their contexts. We therefore managed to establish the reproducibility and far-reaching applicability of our approach to FAIRification tasks.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.