FAIRsharing as a community approach to standards, repositories and policies
By S. Sansone, Peter McQuilton, P. Rocca-Serra, Alejandra N. González-Beltrán, Massimiliano Izzo, Allyson L. Lister, Milo Thurston. Nature Biotechnology, 2019
322 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/e6a830c972ad08e7c7417e875be0a96d8f210bac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Carole A. Goble
- Allan Peter Davis
- Tobias Kuhn
- Jaap Heringa
- Thomas C. Wiegers
- Carolyn J. Mattingly
- Christopher R'e
In Information Systems
In Information Systems and Management
Citations in the corpus
- FAIR Principles: Interpretations and Implementation Considerations (2020, background): “Initiatives such as FAIRsharing [18][19] are examples of attempts to support stakeholder communities in sharing and reusing FAIR solutions.”
- Comparative Toxicogenomics Database (CTD): update 2023 (2022, methodology): “jsp), maintaining compliance with reporting standards set by the FAIRsharing information resource (6), and registering with both BioDBcore (https://fairsharing.”
- OntoLearner: A Modular Python Library for Ontology Learning with Large Language Models (2026, unknown): “…TIB – Leibniz Information Centre for Science and Technology and University Library 2025; de.NBI nd), Unified Medical Language System (UMLS) (Bodenreider 2004), and FAIRsharing (Sansone et al. 2019)—essential repositories for hosting, discovering, reusing, and aligning ontologies across domains.”