ArticleScientific data2023
The FAIR Cookbook - the essential resource for and by FAIR doers.
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 29 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
29 citing papers in PubMed.
- Priorities and Implementation Barriers in End-to-End Digital Transformation in the Pharmaceutical Industry: Sequential Mixed Methods Analysis.Journal of medical Internet research · 2026Article
- The FAIR Case for A Coherent Interoperability to support NHS 10 Year Health Plan.Scientific data · 2026Article
- FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles.Scientific data · 2026Article
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany.PLOS digital health · 2026Article
- Leveraging artificial intelligence in antibody-drug conjugate development: from target identification to clinical translation in oncology.NPJ precision oncology · 2025Review
- RDMkit: A research data management toolkit for life sciences.Patterns (New York, N.Y.) · 2025Article
- FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine.Scientific data · 2025Article
- Materials Data Science Ontology(MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science.Scientific data · 2025Article
- FAIRification of computational models in biology.bioRxiv : the preprint server for biology · 2025Article
- Digital evolution: Novo Nordisk's shift to ontology-based data management.Journal of biomedical semantics · 2025Article
- Spatial and Temporal Analysis, and Machine Learning-Based Prediction of PCB Water Concentrations in U.S. Natural Water Systems.ACS ES&T water · 2025Article
- Immune digital twins for complex human pathologies: applications, limitations, and challenges.NPJ systems biology and applications · 2024Review
- FAIR data management: a framework for fostering data literacy in biomedical sciences education.BMC medical research methodology · 2024Article
- The Journey to a FAIR CORE DATA SET for Diabetes Research in Germany.Scientific data · 2024Article
- The bioinformatics landscape in environmental omics: Lessons from a national ELIXIR survey.iScience · 2024Article
- Reanalysis of single-cell RNA sequencing data does not support herpes simplex virus 1 latency in non-neuronal ganglionic cells in mice.Journal of virology · 2024Article
- A multi-omics data analysis workflow packaged as a FAIR Digital Object.GigaScience · 2024Article
- A research data management (RDM) community for ELIXIR.F1000Research · 2024Article
- Evaluating FAIR Digital Object and Linked Data as distributed object systems.PeerJ. Computer science · 2024Article
- RocHealthData.org: Development and usage of a publicly available, geographic source of social determinants of health data.Journal of clinical and translational science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors.
Funding
Abstract
The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility. Nowadays, FAIR guides data policy actions and professional practices in the public and private sectors. Despite such global endorsements, however, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an open, online resource of hands-on recipes for "FAIR doers" in the Life Sciences. Created by researchers and data managers professionals in academia, (bio)pharmaceutical companies and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. Part of the ELIXIR ecosystem, and recommended by funders, the FAIR Cookbook is open to contributions of new recipes.
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.