SCALEUS-FD: A FAIR Data Tool for Biomedical Applications

Joint Authors

Pereira, Arnaldo
Lopes, Rui Pedro
Oliveira, José Luís

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-08-26

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Pereira, Arnaldo& Lopes, Rui Pedro& Oliveira, José Luís. 2020. SCALEUS-FD: A FAIR Data Tool for Biomedical Applications. BioMed Research International،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1132927

Modern Language Association (MLA)

Pereira, Arnaldo…[et al.]. SCALEUS-FD: A FAIR Data Tool for Biomedical Applications. BioMed Research International No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1132927

American Medical Association (AMA)

Pereira, Arnaldo& Lopes, Rui Pedro& Oliveira, José Luís. SCALEUS-FD: A FAIR Data Tool for Biomedical Applications. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1132927

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132927