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Development of an informatics system for accelerating biomedical research.
The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules—Data Dictionary, Account Management, Query Tool...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376384/ https://www.ncbi.nlm.nih.gov/pubmed/32760576 http://dx.doi.org/10.12688/f1000research.19161.2 |
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author | Navale, Vivek Ji, Michele Vovk, Olga Misquitta, Leonie Gebremichael, Tsega Garcia, Alison Fann, Yang McAuliffe, Matthew |
author_facet | Navale, Vivek Ji, Michele Vovk, Olga Misquitta, Leonie Gebremichael, Tsega Garcia, Alison Fann, Yang McAuliffe, Matthew |
author_sort | Navale, Vivek |
collection | PubMed |
description | The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules—Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Data Repository and Globally Unique Identifier —facilitate the management of research protocols, to submit, process, curate, access and store clinical, imaging, and derived genomics data within the associated data repositories. Multiple instances of BRICS are deployed to support various biomedical research communities focused on accelerating discoveries for rare diseases, Traumatic Brain Injury, Parkinson’s Disease, inherited eye diseases and symptom science research. No Personally Identifiable Information is stored within the data repositories. Digital Object Identifiers are associated with the research studies. Reusability of biomedical data is enhanced by Common Data Elements (CDEs) which enable systematic collection, analysis and sharing of data. The use of CDEs with a service-oriented informatics architecture enabled the development of disease-specific repositories that support hypothesis-based biomedical research. |
format | Online Article Text |
id | pubmed-7376384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-73763842020-08-04 Development of an informatics system for accelerating biomedical research. Navale, Vivek Ji, Michele Vovk, Olga Misquitta, Leonie Gebremichael, Tsega Garcia, Alison Fann, Yang McAuliffe, Matthew F1000Res Method Article The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules—Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Data Repository and Globally Unique Identifier —facilitate the management of research protocols, to submit, process, curate, access and store clinical, imaging, and derived genomics data within the associated data repositories. Multiple instances of BRICS are deployed to support various biomedical research communities focused on accelerating discoveries for rare diseases, Traumatic Brain Injury, Parkinson’s Disease, inherited eye diseases and symptom science research. No Personally Identifiable Information is stored within the data repositories. Digital Object Identifiers are associated with the research studies. Reusability of biomedical data is enhanced by Common Data Elements (CDEs) which enable systematic collection, analysis and sharing of data. The use of CDEs with a service-oriented informatics architecture enabled the development of disease-specific repositories that support hypothesis-based biomedical research. F1000 Research Limited 2020-07-13 /pmc/articles/PMC7376384/ /pubmed/32760576 http://dx.doi.org/10.12688/f1000research.19161.2 Text en Copyright: © 2020 Navale V et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions. |
spellingShingle | Method Article Navale, Vivek Ji, Michele Vovk, Olga Misquitta, Leonie Gebremichael, Tsega Garcia, Alison Fann, Yang McAuliffe, Matthew Development of an informatics system for accelerating biomedical research. |
title | Development of an informatics system for accelerating biomedical research. |
title_full | Development of an informatics system for accelerating biomedical research. |
title_fullStr | Development of an informatics system for accelerating biomedical research. |
title_full_unstemmed | Development of an informatics system for accelerating biomedical research. |
title_short | Development of an informatics system for accelerating biomedical research. |
title_sort | development of an informatics system for accelerating biomedical research. |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376384/ https://www.ncbi.nlm.nih.gov/pubmed/32760576 http://dx.doi.org/10.12688/f1000research.19161.2 |
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