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Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards

BACKGROUND: The Biomedical Research Integrated Domain Group (BRIDG) model is a formal domain analysis model for protocol-driven biomedical research, and serves as a semantic foundation for application and message development in the standards developing organizations (SDOs). The increasing sophistica...

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Autores principales: Jiang, Guoqian, Evans, Julie, Endle, Cory M., Solbrig, Harold R., Chute, Christopher G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778326/
https://www.ncbi.nlm.nih.gov/pubmed/26949508
http://dx.doi.org/10.1186/s13326-016-0053-5
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author Jiang, Guoqian
Evans, Julie
Endle, Cory M.
Solbrig, Harold R.
Chute, Christopher G.
author_facet Jiang, Guoqian
Evans, Julie
Endle, Cory M.
Solbrig, Harold R.
Chute, Christopher G.
author_sort Jiang, Guoqian
collection PubMed
description BACKGROUND: The Biomedical Research Integrated Domain Group (BRIDG) model is a formal domain analysis model for protocol-driven biomedical research, and serves as a semantic foundation for application and message development in the standards developing organizations (SDOs). The increasing sophistication and complexity of the BRIDG model requires new approaches to the management and utilization of the underlying semantics to harmonize domain-specific standards. The objective of this study is to develop and evaluate a Semantic Web-based approach that integrates the BRIDG model with ISO 21090 data types to generate domain-specific templates to support clinical study metadata standards development. METHODS: We developed a template generation and visualization system based on an open source Resource Description Framework (RDF) store backend, a SmartGWT-based web user interface, and a “mind map” based tool for the visualization of generated domain-specific templates. We also developed a RESTful Web Service informed by the Clinical Information Modeling Initiative (CIMI) reference model for access to the generated domain-specific templates. RESULTS: A preliminary usability study is performed and all reviewers (n = 3) had very positive responses for the evaluation questions in terms of the usability and the capability of meeting the system requirements (with the average score of 4.6). CONCLUSIONS: Semantic Web technologies provide a scalable infrastructure and have great potential to enable computable semantic interoperability of models in the intersection of health care and clinical research.
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spelling pubmed-47783262016-03-05 Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards Jiang, Guoqian Evans, Julie Endle, Cory M. Solbrig, Harold R. Chute, Christopher G. J Biomed Semantics Research BACKGROUND: The Biomedical Research Integrated Domain Group (BRIDG) model is a formal domain analysis model for protocol-driven biomedical research, and serves as a semantic foundation for application and message development in the standards developing organizations (SDOs). The increasing sophistication and complexity of the BRIDG model requires new approaches to the management and utilization of the underlying semantics to harmonize domain-specific standards. The objective of this study is to develop and evaluate a Semantic Web-based approach that integrates the BRIDG model with ISO 21090 data types to generate domain-specific templates to support clinical study metadata standards development. METHODS: We developed a template generation and visualization system based on an open source Resource Description Framework (RDF) store backend, a SmartGWT-based web user interface, and a “mind map” based tool for the visualization of generated domain-specific templates. We also developed a RESTful Web Service informed by the Clinical Information Modeling Initiative (CIMI) reference model for access to the generated domain-specific templates. RESULTS: A preliminary usability study is performed and all reviewers (n = 3) had very positive responses for the evaluation questions in terms of the usability and the capability of meeting the system requirements (with the average score of 4.6). CONCLUSIONS: Semantic Web technologies provide a scalable infrastructure and have great potential to enable computable semantic interoperability of models in the intersection of health care and clinical research. BioMed Central 2016-03-03 /pmc/articles/PMC4778326/ /pubmed/26949508 http://dx.doi.org/10.1186/s13326-016-0053-5 Text en © Jiang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jiang, Guoqian
Evans, Julie
Endle, Cory M.
Solbrig, Harold R.
Chute, Christopher G.
Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title_full Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title_fullStr Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title_full_unstemmed Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title_short Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
title_sort using semantic web technologies for the generation of domain-specific templates to support clinical study metadata standards
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778326/
https://www.ncbi.nlm.nih.gov/pubmed/26949508
http://dx.doi.org/10.1186/s13326-016-0053-5
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