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Issues
Winter-Spring 2020
EISSN 2641-435X
Special Issue: Emerging FAIR Practices. Issue Editors: Barend Mons, Erik Schultes & Annika Jacobsen
Statement
Editorial
The FAIR Principles: First Generation Implementation Choices and Challenges
Data Intelligence (2020) 2 (1-2): 1–9.
FAIR Principles: Interpretations and Implementation Considerations
Data Intelligence (2020) 2 (1-2): 10–29.
Implementation Articles
Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR
Data Intelligence (2020) 2 (1-2): 30–39.
The “A” of FAIR – As Open as Possible, as Closed as Necessary
Data Intelligence (2020) 2 (1-2): 47–55.
A Generic Workflow for the Data FAIRification Process
Annika Jacobsen, Rajaram Kaliyaperumal, Luiz Olavo Bonino da Silva Santos, Barend Mons, Erik Schultes
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Data Intelligence (2020) 2 (1-2): 56–65.
Making FAIR Easy with FAIR Tools: From Creolization to Convergence
Data Intelligence (2020) 2 (1-2): 87–95.
Distributed Analytics on Sensitive Medical Data: The Personal Health Train
Data Intelligence (2020) 2 (1-2): 96–107.
Growing the FAIR Community at the Intersection of the Geosciences and Pure and Applied Chemistry
Data Intelligence (2020) 2 (1-2): 139–150.
Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data
Data Intelligence (2020) 2 (1-2): 151–157.
Opinion Article
FAIR Convergence Matrix: Optimizing the Reuse of Existing FAIR-Related Resources
Data Intelligence (2020) 2 (1-2): 158–170.
Implementation Article
The FAIR Funding Model: Providing a Framework for Research Funders to Drive the Transition toward FAIR Data Management and Stewardship Practices
Data Intelligence (2020) 2 (1-2): 171–180.
Opinion Articles
Data Management Planning: How Requirements and Solutions are Beginning to Converge
Data Intelligence (2020) 2 (1-2): 208–219.
Considerations for the Conduction and Interpretation of FAIRness Evaluations
Data Intelligence (2020) 2 (1-2): 285–292.
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