FAIRifying Clinical Studies Metadata: A Registry for the Biomedical Research...Medical Informatics Europe, Public Health and Informatics Conference (Virtual), 29-31 May, 2021.
The data produced during a research project are too often collected for the sole purpose of the study, therefore hindering profitable reuse in similar contexts. The growing need to counteract this trend has recently led to the formalization of the FAIR principles that aim to make (meta)data Findable...
| Publicado en: | Studies in Health Technology & Informatics no. 281; pp. 779 - 784 |
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| Autores principales: | , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150593666&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150593666 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2021 iid: 281 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 150593666 150593666 150593666 10.3233/SHTI210281 150593666 ppf: 779 ppct: 5 formats: tig: atl: FAIRifying Clinical Studies Metadata: A Registry for the Biomedical Research...Medical Informatics Europe, Public Health and Informatics Conference (Virtual), 29-31 May, 2021. aug: au: MELONI, Vittorio SULIS, Alessandro MASCIA, Cecilia FREXIA, Francesca affil: CRS4: Center for Advanced Studies, Research and Development in Sardinia, Italy sug: subj: Clinical Trials Metadata Data Analytics Clinical Trial Registry Research, Medical Human Congresses and Conferences Registries, Disease Electronic Data Interchange Access to Information Data Management Semantics Software Italy Health Care Delivery Digital Technology Honesty ab: The data produced during a research project are too often collected for the sole purpose of the study, therefore hindering profitable reuse in similar contexts. The growing need to counteract this trend has recently led to the formalization of the FAIR principles that aim to make (meta)data Findable, Accessible, Interoperable and Reusable, for humans and machines. Since their introduction, efforts are ongoing to encourage FAIR principles adoption and to implement solutions based on them. This paper reports on the FAIR-compliant registry we developed to collect and serve metadata describing clinical trials. The design of the registry is based on the FAIR Data Point (FDP) specifications, the state-of-the-art reference for FAIRified metadata sharing. To map the metadata relevant to our use case, we have extended the DCAT-based semantic model of the FDP adopting well-established ontologies in the biomedical and clinical domain, like the Semanticscience Integrated Ontology (SIO). Current implementation is based on the Molgenis software and provides both a user interface and a REST API for metadata discovering. At present the registry is being loaded with the metadata of the 18 clinical studies included in the 'I FAIR Program', a project finalised to the dissemination of FAIR best practices among the clinical researchers in Sardinia (Italy). After a testing phase, the registry will be publicly available, while the new model and the source code will be released open source. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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