Abstract
ABSTRACT The FAIR Principles were designed to improve the findability, accessibility, interoperability and reusability of data holdings by humans and machines. The principles can be applied to research information too. We present the results of the discussions that took place during the series of online workshops with experts on Research Information and FAIR Guiding Principles. We provide high-level criteria on how to foster findable, accessible, interoperable and reusable, and we hope that our roadmap for FAIR research information in open infrastructures bring many benefits to a diverse group of stakeholders of the scientific ecosystem.
Highlights
There is an increasing need and growing importance of research information for different use cases in the scholarly world
To gather information about the application of the FAIR principles on research information, we decided to conduct a series of workshops, which – due to the Corona pandemic – had to be held virtually
We were able to include the perspective of information scientists, librarians, PID providers, researchers, research funders, research information experts, and scientometricians
Summary
There is an increasing need and growing importance of research information for different use cases in the scholarly world. FAIR refers to findability, accessibility, interoperability, and reusability of research data. These principles can be applied to research information, too. The most prominent examples are the Leiden Manifesto (Hicks et al, 2015), the Metric Tide (Wilsdon et al, 2015), and the San Francisco Declaration on Open Research Analytics (Alberts, 2013). This leads to a need for an ecosystem of FAIR data in an academy-owned and open infrastructure (Open Data, Open Source, Open Standards etc.)
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