@inproceedings{1ceb218511ab4f3eb1b40dcb3968a47a,
title = "Enabling FAIR Discovery of Rare Disease Digital Resources",
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.",
keywords = "data management, FAIR, information storage and retrieval, metadata, rare disease, semantic web",
author = "Rajaram Kaliyaperumal and {Queralt Rosinach}, N{\'u}ria and Kees Burger and {Bonino Da Silva Santos}, {Luiz Olavo} and Marc Hanauer and Marco Roos",
note = "Publisher Copyright: {\textcopyright} 2021 The authors, AIT Austrian Institute of Technology and IOS Press.; 15th Annual Conference on Health Informatics meets Digital Health, dHealth 2021 ; Conference date: 11-05-2021 Through 12-05-2021",
year = "2021",
month = may,
day = "7",
doi = "10.3233/SHTI210101",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "144--146",
editor = "Dieter Hayn and Gunter Schreier and Martin Baumgartner",
booktitle = "Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021 - Health Informatics Meets Digital Health",
address = "Netherlands",
}