SCALEUS-FD: A FAIR Data Tool for Biomedical Applications

• Published in: BioMed research international Vol. 2020; no. 2020; pp. 1 - 8
• Main Authors: Pereira, Arnaldo, Oliveira, José Luís, Lopes, Rui Pedro
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc
• Subjects: Annotations; Big Data; Biobanks; Biological Ontologies; Biological Science Disciplines - statistics & numerical data; Biomedical data; Biomedical materials; Biomedical research; Computational Biology; Data integration; Databases, Factual; Humans; Information sharing; Internet; Interoperability; Life sciences; Metadata; Ontology; Rare diseases; Resource Description Framework-RDF; Search engines; Semantic Web; Semantics; Software; Subject specialists; Web Ontology Language-OWL
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2020/3041498

The Semantic Web and Linked Data concepts and technologies have empowered the scientific community with solutions to take full advantage of the increasingly available distributed and heterogeneous data in distinct silos. Additionally, FAIR Data principles established guidelines for data to be Findable, Accessible, Interoperable, and Reusable, and they are gaining traction in data stewardship. However, to explore their full potential, we must be able to transform legacy solutions smoothly into the FAIR Data ecosystem. In this paper, we introduce SCALEUS-FD, a FAIR Data extension of a legacy semantic web tool successfully used for data integration and semantic annotation and enrichment. The core functionalities of the solution follow the Semantic Web and Linked Data principles, offering a FAIR REST API for machine-to-machine operations. We applied a set of metrics to evaluate its “FAIRness” and created an application scenario in the rare diseases domain.