NIH Commits $24 Million Annually for Big Data Centers of Excellence
News Jul 23, 2013
The National Institutes of Health will fund up to $24 million per year for four years to establish six to eight investigator-initiated Big Data to Knowledge Centers of Excellence. The centers will improve the ability of the research community to use increasingly large and complex datasets through the development and distribution of innovative approaches, methods, software, and tools for data sharing, integration, analysis and management. The centers will also provide training for students and researchers to use and develop data science methods.
Biomedical research is increasingly data-intensive, with researchers routinely generating and using large, diverse datasets. Yet the ability to manage, integrate and analyze such data, and to locate and use data generated by others, is often limited due to a lack of tools, accessibility, and training. In response, NIH launched the Big Data to Knowledge (BD2K) initiative in December. This initiative supports research, implementation, and training in data science that will enable biomedical scientists to capitalize on the transformative opportunities that large datasets provide. The investigator-initiated BD2K Center of Excellence funding opportunity is the first of several BD2K funding opportunities to be announced in coming months.
“BD2K aims to enable a quantum leap in the ability of the biomedical research enterprise to maximize the value of the growing volume and complexity of biomedical data,” says Eric Green, M.D., Ph.D., NIH acting associate director for data science and director of the National Human Genome Research Institute. “The Centers of Excellence will provide a key component of the overall initiative.”
By encouraging the formation of interdisciplinary teams in a collaborative environment the BD2K Centers of Excellence also seek to increase the involvement of investigators outside of traditional biomedical areas who are experienced with data science.
“This funding opportunity represents a concerted effort to leverage the power of NIH in developing cutting-edge systems to address data science challenges,” said NIH Director Francis S. Collins, M.D., Ph.D. “The goal is to help researchers translate data into knowledge that will advance discoveries and improve health, while reducing costs and redundancy.”
Applicants responding to the BD2K Center of Excellence funding opportunity announcement should identify a research topic and propose research in data science. They should develop approaches, methods, software, and tools for data integration, analysis, database development and management, and visualization and modeling to address important research questions. The products from this research and development will be shared and distributed broadly to the research community. The centers are expected to interact as a consortium that cooperatively builds on individual research efforts.
Sysmex Partners with Laboratories to Deliver Improved QC ManagementNews
Sysmex America has announced its latest innovation: a way to make quality assurance easier and more risk free than manual quality control processes.READ MORE
New Algorithms Help Extract 3-D Biological Structure from Limited DataNews
CAMERA researchers capitalize on their Multi-Tiered Iterative Phasing approach to determine molecular structure of proteins and viruses from X-ray free electron laser data.READ MORE
Comments | 0 ADD COMMENT
EMBL Course: Introduction to Next Generation Sequencing
Apr 09 - Apr 12, 2018
EMBL Course: RNA Sequencing Library Preparation - How Low Can You Go?
Mar 19 - Mar 23, 2018
EMBL Course: Analysis and Integration of Transcriptome and Proteome Data
Mar 12 - Mar 16, 2018
EMBO | EMBL Symposium: Tissue Self-Organisation: Challenging the Systems
Mar 11 - Mar 14, 2018
EMBL Course: Bioinformatics Resources for Protein Biology
Mar 06 - Mar 08, 2018