Towards a Conceptual Model for FAIR Metadata Schemas

Filipi Miranda Soares, Luís Ferreira Pires, Luiz Olavo Bonino da Silva Santos, Rodrigo Fernandes Calhau, Benildes Coura Moreira dos Santos Maculan, Karen Coyle, Shenghui Wang, Erwin Folmer, Debora Pignatari Drucker, Maria Luiza de Almeida Campos, Carlos Henrique Marcondes, Maurício Barcellos Almeida, Kelly Rosa Braghetto, Guilherme Ataíde Dias, José Augusto Salim, Fernando Elias Corrêa, Dilvan de Abreu Moreira, Alexandre Cláudio Botazzo Delbem, Antonio Mauro Saraiva

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Abstract

This paper explores the design and creation of metadata schemas based on the FAIR Data Principles. We provide a clear interpretation of these principles, focusing on how they apply to metadata schemas. Leveraging the OntoUML language, we developed a conceptual model that explains the key components of a FAIR-compliant metadata schema. Through detailed discussion and provision of examples for each model component, this work aims to help metadata designers and curators better understand how to incorporate the FAIR Data principles into their schemas.
Original languageEnglish
Title of host publicationCompanion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, Special Topics, Posters and Demos
Subtitle of host publicationCo-located with ER 2024
EditorsEnrico Gallinucci, Hasan Yasar
Place of PublicationPittsburgh, Pennsylvania
PublisherCEUR
Pages42-55
Number of pages14
Volume3849
Publication statusPublished - 26 Nov 2024
Event43rd International Conference on Conceptual Modeling, ER 2024 - Pittsburgh, United States
Duration: 28 Oct 202431 Oct 2024
Conference number: 43

Publication series

NameCEUR Workshop Proceedings
Volume3849

Conference

Conference43rd International Conference on Conceptual Modeling, ER 2024
Abbreviated titleER 2024
Country/TerritoryUnited States
CityPittsburgh
Period28/10/2431/10/24

Keywords

  • Metadata representation scheme
  • FAIR data principles
  • Conceptual modeling
  • Semantic Web

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