Semantic Web Applications and Tools for Healthcare and Life Sciences
Real-time FAIRification of rare disease patient registry data.pdf (71.35 kB)
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Real-time FAIRification of rare disease patient registry data

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journal contribution
posted on 2018-12-01, 15:57 authored by Martijn G. KerslootMartijn G. Kersloot, Annika Jacobsen, Karlijn Groenen, Denis Rakov, Leo Schultze Kool, Ronald Cornet, Derk Arts

Rare diseases (RDs) affect fewer than 5 people in 10,000. Due to this low prevalence, individual European Union (EU) member states and registries have difficulties constructing databases large enough to perform valid research. Interoperability (I) between registries would support the construction of these databases; therefore, the EU defined 16 common data elements to be registered by all RD registries. We aimed to make this common set FAIR for the registry of vascular anomalies (VASCA), to also ensure findability (F), accessibility (A), and reusability (R). FAIR datasets allow for pooling of data from multiple sources, providing researchers with more data for their research. In this demonstration, we show how an online data capture tool (Castor EDC) allows real-time FAIRification of collected registry data. A semantic model and Twig template are used to automatically transform data, upon entry into the eCRF (electronic Case Report Form), into RDF (Resource Description Framework) triples, a machine-readable format, to make the data FAIR. This implementation can be re-used and adapted for eCRFs of other registries or clinical studies.