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Development of an informatics system for accelerating biomedical research.

Vivek Navale1, Michele Ji1, Olga Vovk2

  • 1Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA, Bethesda, Maryland, 20892, USA.

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Summary

The Biomedical Research Informatics Computing System (BRICS) enhances data sharing for rare diseases and other research. It uses Common Data Elements (CDEs) to improve data collection, analysis, and reuse in biomedical research.

Keywords:
Biomedical repositoryFAIRInformatics systemTranslational Research

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Area of Science:

  • Biomedical Informatics
  • Health Informatics
  • Clinical Research Informatics

Background:

  • The need for integrated data management systems in biomedical research is critical for accelerating discoveries.
  • Existing systems often lack the flexibility to support diverse disease-focused research programs.
  • Standardization of data collection and management is essential for data reusability and collaborative research.

Purpose of the Study:

  • To describe the architecture and functionality of the Biomedical Research Informatics Computing System (BRICS).
  • To highlight how BRICS supports multiple disease-focused research communities.
  • To emphasize the role of Common Data Elements (CDEs) in enhancing biomedical data sharing and analysis.

Main Methods:

  • BRICS integrates seven service modules: Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Data Repository, and Globally Unique Identifier.
  • A service-oriented informatics architecture facilitates the management, submission, processing, curation, access, and storage of diverse data types (clinical, imaging, genomics).
  • Implementation across multiple instances supports specific research areas like rare diseases, Traumatic Brain Injury, Parkinson's Disease, inherited eye diseases, and symptom science.

Main Results:

  • BRICS provides a collaborative, extensible web-based environment for managing research protocols and data.
  • Disease-specific data repositories are developed, supporting hypothesis-based research without storing Personally Identifiable Information.
  • Digital Object Identifiers (DOIs) are associated with research studies, enhancing data discoverability and citation.

Conclusions:

  • The BRICS system effectively supports diverse biomedical research communities by providing integrated data management capabilities.
  • The use of Common Data Elements (CDEs) within BRICS significantly enhances the reusability, systematic collection, analysis, and sharing of biomedical data.
  • BRICS architecture facilitates the development of specialized data repositories, accelerating scientific discovery in various disease areas.