Development of an informatics system for accelerating biomedical research. [version 2; peer review: 2 approved]

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...

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Bibliographic Details
Published in:F1000 research 2019-01, Vol.8, p.1430-1430
Main Authors: Navale, Vivek, Ji, Michele, Vovk, Olga, Misquitta, Leonie, Gebremichael, Tsega, Garcia, Alison, Fann, Yang, McAuliffe, Matthew
Format: Article
Language:English
Subjects:
Autism
Biomedical research
Brain research
Data collection
Data dictionaries
Disease
Eye diseases
Informatics
Java
Metadata
Method
Movement disorders
Neurodegenerative diseases
Neuroimaging
Neurological disorders
Parkinson's disease
Research programs
Researchers
Resource Description Framework-RDF
Systems design
Traumatic brain injury
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Summary: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.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.19161.2