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FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1003))


As Moore’s Law and associated technical advances continue to bulldoze their way through society, both exciting possibilities and severe challenges emerge. The upside is the explosive growth of data and compute resources that promise revolutionary modes of discovery and innovation not only within traditional knowledge disciplines, but especially between them. The challenge, however, is to build the large-scale, widely accessible, persistent and automated infrastructures that will be necessary for navigating and managing the unprecedented complexity of exponentially increasing quantities of distributed and heterogenous data. This will require innovations in both the technical and social domains. Inspired by the successful development of the Internet and leveraging the Digital Object Framework and FAIR Principles (for making data Findable, Accessible, Interoperable and Reusable by machines) the GO FAIR initiative works with voluntary stakeholders to accelerate convergence on minimal standards and working implementations leading to an Internet of FAIR Data and Services (IFDS). In close collaboration with GO FAIR and DONA, the RDA GEDE and C2CAMP initiatives will continue its FAIR DO implementation efforts..

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We thank the many collaborators in C2CAMP, RDA GEDE and GO FAIR to contribute to the ongoing discussions which led to this publication.

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Correspondence to Erik Schultes or Peter Wittenburg .

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Schultes, E., Wittenburg, P. (2019). FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure. In: Manolopoulos, Y., Stupnikov, S. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2018. Communications in Computer and Information Science, vol 1003. Springer, Cham.

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  • Print ISBN: 978-3-030-23583-3

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