Journal:Development of an informatics system for accelerating biomedical research
| Full article title | Development of an informatics system for accelerating biomedical research (Version 2) |
|---|---|
| Journal | F1000Research |
| Author(s) | Navale, Vivek; Ji, Micehle; Vovk, Olga; Misquitta, Leonie; Gebremichael, Tsega; Garcia, Alison; Fann, Yang; McAuliffe, Matthew |
| Author affiliation(s) | National Institutes of Health; General Dynamics Information Technology, Inc.; Sapient Government Services |
| Primary contact | Email: Vivek dot Navale at nih dot gov |
| Year published | 2020 |
| Volume and issue | 8 |
| Article # | 1430 |
| DOI | 10.12688/f1000research.19161.2 |
| ISSN | 2046-1402 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://f1000research.com/articles/8-1430/v2 |
| Download | https://f1000research.com/articles/8-1430/v2/pdf (PDF) |
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This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
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, including the submission, processing, curation, access, and storage of 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 injuries, 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.
Keywords: informatics system, biomedical repository, translational research, FAIR
Introduction
Biomedical informatics systems can be used for the management of heterogeneous data, testing of data analysis methods, dissemination of translational research, and the generation of high-throughput hypotheses.[1][2] In the past, many disease-focused research programs have collected data in dissimilar ways, which has resulted in difficulties for data aggregation and comparative analyses. For example, non-standard methods of data collection in traumatic brain injury (TBI) research have led to many different types of injuries to be classified within the same class of injury. To overcome this problem, in October 2007, the National Institute of Neurological Disorders and Stroke (NINDS), National Institute on Disability and Rehabilitation Research (NIDRR), the Defense and Veterans Brain Injury Center, and the Brain Injury Association of America sponsored a workshop to examine barriers to TBI clinical trial effectiveness. The workshop recommendation of improving data discoverability and integration in TBI research resulted in the development and implementation of common data elements (CDEs) and the Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system.[3]
References
- ↑ Sarkar, I.N. (2010). "Biomedical informatics and translational medicine". Journal of Translational Medicine 8: 22. doi:10.1186/1479-5876-8-22. PMC PMC2837642. PMID 20187952. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837642.
- ↑ Payne, P.R.O. (2012). "Chapter 1: Biomedical knowledge integration". PLoS Computational Biology 8 (12): e1002826. doi:10.1371/journal.pcbi.1002826. PMC PMC3531314. PMID 23300416. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531314.
- ↑ Thompson, H.J.; Vavilala, M.S.; Rivara, F.P. (2015). "Chapter 1: Common Data Elements and Federal Interagency Traumatic Brain Injury Research Informatics System for TBI Research". Annual Review of Nursing Research 33 (1): 1–11. doi:10.1891/0739-6686.33.1. PMC PMC4704986. PMID 25946381. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704986.
Notes
This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added.
