Related Experiment Video
Updated: Jun 21, 2026

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform
Published on: January 13, 2019
Enabling public data sharing: encouraging scientific discovery and education
1Department of Psychiatry, University of California - San Diego, La Jolla, CA, USA.
The Biomedical Informatics Research Network (BIRN) Data Repository (BDR) facilitates biomedical data sharing and integration. It offers a flexible infrastructure for diverse research, promoting scientific discovery and education through accessible data resources.
Area of Science:
- Biomedical Informatics
- Data Science
- Scientific Research Infrastructure
Background:
- The need for integrated data resources in biomedical research is growing.
- Existing data silos hinder scientific discovery and collaboration.
- A centralized platform is required to manage and share diverse biomedical datasets.
Purpose of the Study:
- To establish a federated data repository for the biomedical community.
- To support data storage, sharing, querying, and downloading.
- To enable intelligent exploration of integrated data resources.
Main Methods:
- Development of the Biomedical Informatics Research Network (BIRN) Data Repository (BDR).
- Implementation of data integration and knowledge management techniques.
- Creation of a Gridsphere-based Portal for data contribution and access.
Main Results:
- The BDR provides a single entry point for multiple data resources.
- The infrastructure supports data sharing for investigators and extends the reach of existing data.
- The system is flexible and extendable to various scientific disciplines.
Conclusions:
- The BDR enhances the availability and accessibility of rare, complex, and existing data.
- It fosters scientific discovery and education by promoting interdisciplinary studies.
- The repository offers a common resource for the scientific and clinical communities.
Related Concept Videos
Data Reporting and Recording
Investigation of Disease Outbreaks
GIS Software, Hardware, and Sources of GIS Data
Drug Discovery: Overview
Scientific Laws and Theories
Statistical Software for Data Analysis and Clinical Trials
