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Data Science Community

Building a digital ecosystem for biomedicine.

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BD2KBig Data to Knowledge

Broadening impact through biomedical data science research and training.

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Commons

Connecting resources and enabling discovery.

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DataScience@NIH

The NIH is dedicated to harnessing the potential of the computational and quantitative sciences to elevate the impact and efficiency of biomedical research. NIH efforts in the integration of Data Science with the biomedical sciences are coordinated by the NIH Scientific Data Council and DataScience@NIH, under the leadership of the NIH Associate Director for Data Science (ADDS).  DataScience@NIH leads the development of the overall NIH vision for Data Science and coordinates across all 27 Institutes and Centers in support of biomedical research as a digital enterprise.

 

DataScience@NIH Blog  

Driving Discovery through Data - The DataScience @NIH Blog is the NIH Data Science community news and discussion forum. Get the news and tell the community what you think.

 
NIH Data Science Community

Who’s doing Data Science? How can it help you? Learn about the NIH Data Science community to find out.

 
NIH Data Science Workforce Development

New to Data Science? Want to Learn more? Find NIH resources for training and teaching here.

News

  • NLM Director Dr. Patricia Flatley Brennan Appointed Interim NIH Associate Director for Data Science

    ON JANUARY 6, 2017, the National Institutes of Health announced that National Library of...read more

  • Big Data to Knowledge Multi-Council Working Group - January 2017

    Notice is hereby given of a meeting of the Big Data to Knowledge (BD2K) Multi-Council...read more

  • Big Data to Knowledge Multi-Council Working Group - September 2016

    Notice is hereby given of a meeting of the Big Data to Knowledge (BD2K) Multi-Council...read more

  • Call for Public Feedback for bioCADDIE DataMed DDI Prototype

    The National Institutes for Health (NIH) is pleased to announce an opportunity to evaluate and...read more

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 The Commons

The Commons is intended to facilitate access and catalyze the sharing, use, reuse, interoperability, and discoverability of shared digital research objects. It is a shared and interoperable computing environment intended to take advantage of emergent public and private cloud computing platforms and existing high performance computing (HPC) resources. The NIH is currently implementing a number of Commons pilots to develop, test, and use each element of the Commons individually and in concert. The results of these pilot efforts will provide a basis for widespread application of the Commons.

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 Data Science Community

Biomedical Data Science is everywhere at the NIH and the community is growing. From funding opportunities to book clubs, you can find the support or training you need at the NIH.

DataScience@NIH Community

The NIH has a vibrant community of intramural researchers, world-class resources, and strong extramural programs invested in Data Science. Whether you are looking for collaboration, a Beowulf cluster, or a funding opportunity chances are you'll find it at one or more of the NIH Institutes and Centers. Find out more about what the DataScicence@NIH community is all about here.

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Join the Data Discussion

Everybody is talking about Data Science! From NIH sponsored Scientific Interest Groups (SIGs) to informal meet-ups it is easy to find people interested in DataScience@NIH. Stay Current on the latest news with email subscriptions or learn about a new technique at a SIG discussion.

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Workforce Development

Want to learn Data Science skills? Training opportunities are at your fingertips. Explore online and on campus activities at the NIH Data Science Training Center or apply to BD2K extramural training funding opportunities. Find out more about how to get the training you need here.

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Community Engagement

Biomedical Data Science offers great career opportunities at many educational levels. Diverse perspectives support innovation and ingenuity. DataScience@NIH is dedicated to reaching out to underrepresented populations in biomedical data science and to supporting the unique needs of the different fields of biomedicine. Learn how to join in and to make data science work for you here.

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