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Persistence and interoperability in FAIR research data management - 1st FAIRsFAIR webinar

Jessica Parland-von Essen; Leah Riungu-Kalliosaari

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The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific data management circles. The work of further defining these principles and applying them in day-to-day knowledge sharing is ongoing.

The FAIRsFAIR working group "FAIR practices: semantics, interoperability and services" recently published the first iteration of three annual reports on the state of FAIR in European scientific data. Based on studies of public information, especially EOSC infrastructure efforts, and on limited surveying and interviews, the report reviews and documents commonalities between infrastructures and obstacles to semantic interoperability - that is the use of metadata and persistent identifiers to enhance dissemination across infrastructures.

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