In an increasingly complex and heterogeneous environment, significant effort is required to efficiently work with data and other digital objects. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to tackle these problems, describing a minimal set of requirements for data stewardship towards higher data reusability. The FAIR principles have been gaining significant attention in different areas of the society, crossing international borders and, knowledge and application domains.
In order to improve findability, accessibility, interoperability and reusability of different types of digital objects at scale, the FAIR principles focus on machine actionability. Therefore, a critical aspect to achieve this machine actionability is semantics. Proper semantic descriptions should be available to make “intelligible” for computational agents the elements of a FAIR data ecosystem such as data policies, data management plans, identifier mechanisms, standards, FAIRification processes, FAIRness assessment criteria and methods, data repositories and supporting tools.
The goal of the workshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data is to discuss challenges, solutions and impact of, for one side, the use of conceptual modeling and metadata and data management to support the improvement of FAIRness in digital objects and, for the other side, the adoption of the FAIR principles to guide improvements in conceptual modeling.
Workshop paper submission:
June 16, 2021
July 15, 2021
July 31, 2021
October 18-21, 2021 (CANCELLED)
More about submission guidelines
Luiz Olavo Bonino (GO FAIR, University of Twente, LUMC, the Netherlands)
João Moreira (University of Twente, the Netherlands)
Giancarlo Guizzardi (University of Twente, the Netherlands)
More information about the workshop incl topics of interest, registration, programme committee
This workshop is co-Located with the 40th International Conference on Conceptual Modeling (ER 2021), 18-21 October 2021 St. John’s, NL, Canada.