In 2021 we mark five years since publication of the FAIR data principles. The FAIR principles refer to the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention. These principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations. FAIR data are data, that meet the principles of findability, accessibility, interoperability, and reusability.
According to Varsha Khodiyar, Data Curation Manager at Springer Nature, the concept of FAIR data has been instrumental in bringing open science and research data to the attention of the research community, as well as to the broader group of stakeholders involved in facilitating, managing and disseminating research. But what could the future look like?
Here are four key takeaways for librarians from a new white paper, The Future of FAIR: Highlights and reflections from the Better Research Through Better Data roundtable:
The Future of FAIR: Highlights and reflections from the Better Research Through Better Data roundtable brings together an international cohort of research data professionals to celebrate the real-world impact of the FAIR data principles, and consider what will be next for research data and open science.
Download the full white paper here.