Abstract
Background: Integration of heterogenous resources is key for Rare Disease research. Within the EJP RD, common Application Programming Interface specifications are proposed for discovery of resources and data records. This is not sufficient for automated processing between RD resources and meeting the FAIR principles. Objective: To design a solution to improve FAIR for machines for the EJP RD API specification. Methods: A FAIR Data Point is used to expose machine-actionable metadata of digital resources and it is configured to store its content to a semantic database to be FAIR at the source. Results: A solution was designed based on grlc server as middleware to implement the EJP RD API specification on top of the FDP. Conclusion: grlc reduces potential API implementation overhead faced by maintainers who use FAIR at the source.
Original language | English |
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Title of host publication | Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021 - Health Informatics Meets Digital Health |
Editors | Dieter Hayn, Gunter Schreier, Martin Baumgartner |
Publisher | IOS |
Pages | 144-146 |
Number of pages | 3 |
ISBN (Electronic) | 9781643681801 |
DOIs | |
Publication status | Published - 7 May 2021 |
Event | 15th Annual Conference on Health Informatics meets Digital Health, dHealth 2021 - Virtual, Online, Austria Duration: 11 May 2021 → 12 May 2021 Conference number: 15 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 279 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Conference
Conference | 15th Annual Conference on Health Informatics meets Digital Health, dHealth 2021 |
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Abbreviated title | dHealth 2021 |
Country/Territory | Austria |
City | Virtual, Online |
Period | 11/05/21 → 12/05/21 |
Keywords
- data management
- FAIR
- information storage and retrieval
- metadata
- rare disease
- semantic web