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Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer
Patient registries are an essential tool to increase current knowledge regarding rare diseases. Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine. However, the growing number of disease-specific patient registries b...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682045/ https://www.ncbi.nlm.nih.gov/pubmed/29214177 http://dx.doi.org/10.1155/2017/8327980 |
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author | Sernadela, Pedro González-Castro, Lorena Carta, Claudio van der Horst, Eelke Lopes, Pedro Kaliyaperumal, Rajaram Thompson, Mark Thompson, Rachel Queralt-Rosinach, Núria Lopez, Estrella Wood, Libby Robertson, Agata Lamanna, Claudia Gilling, Mette Orth, Michael Merino-Martinez, Roxana Posada, Manuel Taruscio, Domenica Lochmüller, Hanns Robinson, Peter Roos, Marco Oliveira, José Luís |
author_facet | Sernadela, Pedro González-Castro, Lorena Carta, Claudio van der Horst, Eelke Lopes, Pedro Kaliyaperumal, Rajaram Thompson, Mark Thompson, Rachel Queralt-Rosinach, Núria Lopez, Estrella Wood, Libby Robertson, Agata Lamanna, Claudia Gilling, Mette Orth, Michael Merino-Martinez, Roxana Posada, Manuel Taruscio, Domenica Lochmüller, Hanns Robinson, Peter Roos, Marco Oliveira, José Luís |
author_sort | Sernadela, Pedro |
collection | PubMed |
description | Patient registries are an essential tool to increase current knowledge regarding rare diseases. Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine. However, the growing number of disease-specific patient registries brings also new technical challenges. Usually, these systems are developed as closed data silos, with independent formats and models, lacking comprehensive mechanisms to enable data sharing. To tackle these challenges, we developed a Semantic Web based solution that allows connecting distributed and heterogeneous registries, enabling the federation of knowledge between multiple independent environments. This semantic layer creates a holistic view over a set of anonymised registries, supporting semantic data representation, integrated access, and querying. The implemented system gave us the opportunity to answer challenging questions across disperse rare disease patient registries. The interconnection between those registries using Semantic Web technologies benefits our final solution in a way that we can query single or multiple instances according to our needs. The outcome is a unique semantic layer, connecting miscellaneous registries and delivering a lightweight holistic perspective over the wealth of knowledge stemming from linked rare disease patient registries. |
format | Online Article Text |
id | pubmed-5682045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-56820452017-12-06 Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer Sernadela, Pedro González-Castro, Lorena Carta, Claudio van der Horst, Eelke Lopes, Pedro Kaliyaperumal, Rajaram Thompson, Mark Thompson, Rachel Queralt-Rosinach, Núria Lopez, Estrella Wood, Libby Robertson, Agata Lamanna, Claudia Gilling, Mette Orth, Michael Merino-Martinez, Roxana Posada, Manuel Taruscio, Domenica Lochmüller, Hanns Robinson, Peter Roos, Marco Oliveira, José Luís Biomed Res Int Research Article Patient registries are an essential tool to increase current knowledge regarding rare diseases. Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine. However, the growing number of disease-specific patient registries brings also new technical challenges. Usually, these systems are developed as closed data silos, with independent formats and models, lacking comprehensive mechanisms to enable data sharing. To tackle these challenges, we developed a Semantic Web based solution that allows connecting distributed and heterogeneous registries, enabling the federation of knowledge between multiple independent environments. This semantic layer creates a holistic view over a set of anonymised registries, supporting semantic data representation, integrated access, and querying. The implemented system gave us the opportunity to answer challenging questions across disperse rare disease patient registries. The interconnection between those registries using Semantic Web technologies benefits our final solution in a way that we can query single or multiple instances according to our needs. The outcome is a unique semantic layer, connecting miscellaneous registries and delivering a lightweight holistic perspective over the wealth of knowledge stemming from linked rare disease patient registries. Hindawi 2017 2017-10-29 /pmc/articles/PMC5682045/ /pubmed/29214177 http://dx.doi.org/10.1155/2017/8327980 Text en Copyright © 2017 Pedro Sernadela et al. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article Sernadela, Pedro González-Castro, Lorena Carta, Claudio van der Horst, Eelke Lopes, Pedro Kaliyaperumal, Rajaram Thompson, Mark Thompson, Rachel Queralt-Rosinach, Núria Lopez, Estrella Wood, Libby Robertson, Agata Lamanna, Claudia Gilling, Mette Orth, Michael Merino-Martinez, Roxana Posada, Manuel Taruscio, Domenica Lochmüller, Hanns Robinson, Peter Roos, Marco Oliveira, José Luís Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title | Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title_full | Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title_fullStr | Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title_full_unstemmed | Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title_short | Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer |
title_sort | linked registries: connecting rare diseases patient registries through a semantic web layer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682045/ https://www.ncbi.nlm.nih.gov/pubmed/29214177 http://dx.doi.org/10.1155/2017/8327980 |
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