FAIR Digital Objects for the Realization of Globally Aligned Data Spaces
Nicolas Blumenroehr, Philipp-Joachim Ost, Felix Kraus, Achim Streit

TL;DR
This paper introduces a formal data model for FAIR Digital Objects to enable consistent, machine-actionable data management across diverse domains, addressing current inconsistencies in implementation.
Contribution
It provides a rigorously formalized, domain-independent model with assertions for FAIR Digital Objects, facilitating their implementation and reuse across different data spaces.
Findings
Formalized data model for FAIR Digital Objects
Implementation examples in two use cases
Comparison with other FAIR Digital Object descriptions
Abstract
The FAIR principles are globally accepted guidelines for improved data management practices with the potential to align data spaces on a global scale. In practice, this is only marginally achieved through the different ways in which organizations interpret and implement these principles. The concept of FAIR Digital Objects provides a way to realize a domain-independent abstraction layer that could solve this problem, but its specifications are currently diverse, contradictory, and restricted to semantic models. In this work, we introduce a rigorously formalized data model with a set of assertions using formal expressions to provide a common baseline for the implementation of FAIR Digital Objects. The model defines how these objects enable machine-actionable decisions based on the principles of abstraction, encapsulation, and entity relationship to fulfill FAIR criteria for the digital…
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management · Advanced Data Storage Technologies
