fab fa-github repository fas fa-lightbulb open issue fas fa-pencil-alt suggest edit The FAIR Cookbook for FAIR doers An online, open and live resource for the Life Sciences with recipes that help you to make and keep data Findable, Accessible, Interoperable and Reusable; in one word FAIR.
FAIR case studies: good practice on FAIR data and software
JOSS2021_E7_FAIRなデータキュレーションの実践_FAIR_Evaluation.pptx
Homepage | FAIR Connect
Introducing the FAIR Principles for research software - Scientific Data
KadiStudio: FAIR Modelling of Scientific Research Processes | Data Science Journal
How to be FAIR with your data
Recommendations for Discipline-Specific FAIRness Evaluation Derived from Applying an Ensemble of Evaluation Tools | Data Science Journal
D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions
FAIR Forever: A FAIR study to remember - Digital Preservation Coalition
Documents
NBDC、JOSS2021「FAIRなデータキュレーションの実践」に登壇 | 科学技術情報プラットフォーム
Adaptation of FAIR Data Maturity Model indicators in Validator
https://www.liebertpub.com/doi/full/10.1089/bio.2017.0110
FAIRPort Mobile Data Open Movement
FAIR Cookbook
White paper: The Future of FAIR
Seven Recommendations for Implementation of FAIR Practice
Generalizing FAIR
Ten Simple Rules for making a vocabulary FAIR
FAIR Digital Objects Forum |