Abstract:FAIR Digital Objects (FDOs) are typed by a well described set of attributes, where attributes are key value pairs with a key, which refers to a syntactic description of the value. Often the description of the set of attributes is called also profile. The exact description of the attribute keys is obviously crucial for machine actionability on one hand. On the other hand an exact description of attributes can be a way to allow also human readability of the used keys. Furthermore it can often integrate legacy at… Show more
“…Below, I provide three examples of PID records from three different domains that show a few common elements and possibilities of different operations (two examples are borrowed from [21]).…”
Based on the work of the Research Data Alliance and FAIR Digital Objects Forum, and examples from three different domains, this article highlights the importance and effectiveness of PID level metadata for FAIR implementation and machine actionability.
FAIR Digital Object (FDO) is an emerging concept that is highlighted by European Open Science Cloud (EOSC) as a potential candidate for building an ecosystem of machine-actionable research outputs. In this work we systematically evaluate FDO and its implementations as a global distributed object system, by using five different conceptual frameworks that cover interoperability, middleware, FAIR principles, EOSC requirements and FDO guidelines themself. We compare the FDO approach with established Linked Data practices and the existing Web architecture, and provide a brief history of the Semantic Web while discussing why these technologies may have been difficult to adopt for FDO purposes. We conclude with recommendations for both Linked Data and FDO communities to further their adaptation and alignment.
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