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Open datasets are often exposed with insufficient metadata, making difficult to end users the task of identifying those that better fit their needs. One way to overcome this weaknesses is to guarantee compliance of data to the FAIR principles, in particular where the use of ontologies is a key aspect for proving richer metadata schemes. This paper proposes an ontology network, DATA-FW, that aims at representing rich metadata to assist in dataset usage. It exploits different features that are required to meet the user’s needs, which have been divided into four distinct components: Core Metadata Component, Structure Component, Usage Component, and Quality Component. Each Component reuses existing and known vocabularies and serves a specific purpose.

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DATA-FW: An Ontology Network for Annotating Open Datasets

  • 会议论文

  • 发表日期：

    2025年

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  • Antoine Dupuy,
  • Nathalie Aussenac-Gilles,
  • Christophe Baehr,
  • Cassia Trojahn

摘要

Open datasets are often exposed with insufficient metadata, making difficult to end users the task of identifying those that better fit their needs. One way to overcome this weaknesses is to guarantee compliance of data to the FAIR principles, in particular where the use of ontologies is a key aspect for proving richer metadata schemes. This paper proposes an ontology network, DATA-FW, that aims at representing rich metadata to assist in dataset usage. It exploits different features that are required to meet the user’s needs, which have been divided into four distinct components: Core Metadata Component, Structure Component, Usage Component, and Quality Component. Each Component reuses existing and known vocabularies and serves a specific purpose.