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BioMed Research International
Volume 2017, Article ID 8327980, 13 pages
https://doi.org/10.1155/2017/8327980
Research Article

Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer

1University of Aveiro, DETI/IEETA, Aveiro, Portugal
2Galician Research and Development Center in Advanced Telecommunications (GRADIANT), Pontevedra, Spain
3National Center for Rare Diseases, Istituto Superiore di Sanità, Rome, Italy
4Leiden University Medical Centre (LUMC), Leiden, Netherlands
5International Centre for Life, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
6Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra (UPF), Barcelona, Spain
7Institute of Rare Diseases Research, ISCIII, SpainRDR and CIBERER, Madrid, Spain
8John Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
9The European Huntington’s Disease Network, University Hospital of Ulm, Ulm, Germany
10Department of Neurology, University Hospital of Ulm, Ulm, Germany
11Karolinska Institutet, Solna, Sweden
12Institute of Medical Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany

Correspondence should be addressed to Pedro Sernadela; tp.au@aledanres

Received 3 February 2017; Revised 11 June 2017; Accepted 2 October 2017; Published 29 October 2017

Academic Editor: Peyman Björklund

Copyright © 2017 Pedro Sernadela et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Pedro Sernadela, Lorena González-Castro, Claudio Carta, et al., “Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer,” BioMed Research International, vol. 2017, Article ID 8327980, 13 pages, 2017. https://doi.org/10.1155/2017/8327980.