OCLC-LIBER Open Science Discussion on the FAIR Principles - Hanging Together

"What is the ideal future vision of an open science ecosystem supporting FAIR data? What are the challenges in getting there? These were the topics of the second installment of the OCLC/LIBER discussion series on open science, which brought together an international group of participants with a shared interest in the FAIR principles. The discussion series, which runs from September 24 through November 5, illuminates key topics related to the LIBER Open Science Roadmap. Both the discussion series and the Roadmap have the mutual goal of informing research libraries as they envision their roles in an open science landscape.

The first discussion in the series addressed the topic of scholarly publishing; a summary of the discussion highlights can be found here. In the second discussion, the focus was FAIR research data. FAIR is a set of broadly articulated principles describing the foundations of “good data management”, aimed at those who produce, publish, and/or steward research data sets, and serving as a set of guideposts for leveraging the full value of research data in support of scholarly inquiry. FAIR research data – that is, data that is findable, accessible, interoperable, and reusable – is seen as an important component of a broader open science ecosystem...."