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Evaluating FAIR Digital Object and Linked Data as distributed object systems.

Stian Soiland-Reyes1,2, Carole Goble1, Paul Groth2

  • 1Department of Computer Science, The University of Manchester, Manchester, UK.

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Summary
This summary is machine-generated.

FAIR Digital Objects (FDOs) are evaluated as a system for machine-actionable research outputs. This study assesses FDOs against key frameworks, comparing them with Linked Data and web architecture for better alignment.

Keywords:
Digital objectDistributed objectsEOSCFAIRFDOFrameworksInteroperabilityLinked dataMiddleware

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Area of Science:

  • Computer Science
  • Information Science
  • Open Science

Background:

  • FAIR Digital Objects (FDOs) are emerging as a key concept for the European Open Science Cloud (EOSC).
  • FDOs aim to create an ecosystem of machine-actionable research outputs.
  • The adoption of Semantic Web technologies has faced challenges, impacting FDO development.

Purpose of the Study:

  • To systematically evaluate FDOs and their implementations as a global distributed object system.
  • To compare the FDO approach with established Linked Data practices and existing Web architecture.
  • To provide recommendations for aligning Linked Data and FDO communities.

Main Methods:

  • Evaluation of FDOs using five conceptual frameworks: interoperability, middleware, FAIR principles, EOSC requirements, and FDO guidelines.
  • Comparative analysis of FDOs against Linked Data and Web architecture.
  • Historical review of Semantic Web adoption challenges.

Main Results:

  • The study systematically assesses FDO implementations against established frameworks and architectures.
  • Identified challenges and opportunities for FDOs in relation to Linked Data and Web architecture.
  • Provided insights into the historical difficulties of Semantic Web adoption relevant to FDOs.

Conclusions:

  • FDOs present a promising approach for machine-actionable research outputs within the EOSC ecosystem.
  • Alignment between FDOs and Linked Data practices is crucial for successful implementation.
  • Recommendations are provided to foster adaptation and integration between the Linked Data and FDO communities.