The FAIR hourglass: A framework for FAIR implementation
Author:
Affiliation:
1. FAIR Implementation Lead, GO FAIR Foundation, Poortgebouw Noord, Rijnsburgerweg 10, 2333 AA Leiden, The Netherlands
Abstract
Publisher
IOS Press
Reference6 articles.
1. The FAIR data point: Interfaces and tooling;Benhamed;Data Intell.,2022
2. Ontology-based access control for FAIR data;Brewster;Data Intell.,2020
3. FAIR data point: A FAIR-oriented approach for metadata publication;da Silva Santos;Data Intell.,2022
4. A. Jacobsen, R.M. Azevedo, N. Juty, D. Batista, S. Coles, R. Cornet et al., Fair principles: Interpretations and implementation considerations, Data Intell. 2(1–2) (2020).
5. Swarm learning for decentralized and confidential clinical machine learning;Warnat-Herresthal;Nature.,2021
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1. Harmonizing quality measures of FAIRness assessment towards machine-actionable quality information;International Journal of Digital Earth;2024-08-22
2. Metadata stewardship in nanosafety research: learning from the past, preparing for an “on-the-fly” FAIR future;Frontiers in Physics;2023-08-17
3. From principles to reality. FAIR implementation in the nanosafety community;Nano Today;2023-08
4. Hourglass-based interoperability through nanopublications in VODAN-A;FAIR Connect;2023-01-09
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