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03

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Request for Information: Next-Generation Data Science Challenges in Health and Biomedicine

Posted by on October 3rd, 2017 Posted in: Data Science, News from NLM/NIH


On behalf of the National Institutes of Health (NIH), the National Library of Medicine (NLM) seeks community input on new data science research initiatives that could address key challenges currently faced by researchers, clinicians, administrators, and others, in all areas of biomedical, social/behavioral and health-related research. The field of data science is broad in scope, encompassing approaches for the generation, characterization, management, storage, analysis, visualization, integration and use of large, heterogeneous data sets that have relevance to health and biomedicine. Data science undergirds the broad and interdependent objectives of the NIH Strategic Plan.

Information about data science research directions that could lead to breakthroughs in any or all NIH interest areas is welcomed, whether applicable across wide swaths of health and biomedicine, or focused on particular research domains.

Information Requested:

NLM requests information on the three focal areas listed below:

  1. Promising directions for new data science research in the context of health and biomedicine.  Input might address such topics as Data Driven Discovery and Data Driven Health Improvement.
  2. Promising directions for new initiatives relating to open science and research reproducibility. Input might address such topics as Advanced Data Management and Intelligent and Learning Systems for Health.
  3. Promising directions for workforce development and new partnerships. Input might address such topics as Workforce Development and Diversity and New Stakeholder Partnerships.

Within these general topic areas, or others related to data science in health and biomedicine, NLM invites researchers, clinicians, organizations, industry representatives and other interested parties to provide input on:

  • Research areas that could benefit most from advanced data science methods and approaches;
  • Data science methods that need updating, or gap areas where new approaches are needed;
  • Priorities for new data science research;
  • Appropriate partnerships and settings for expanded data science research.

See the full notice of request for more background information and details on how to submit a response.

Inquiries:

Please direct all inquiries to Valerie Florance, PhD
National Library of Medicine (NLM)
Telephone: 301-496-4621
Email: NLMEPInfo@mail.nih.gov

Image of the author ABOUT Hannah Sinemus
Hannah Sinemus is the Technology Liaison for the Middle Atlantic Region (MAR). Although she updates the MAR web pages, blog, newsletter and social media, Hannah is not the sole author of this content. If you have questions about a MARquee or MAReport posting, please contact the Middle Atlantic Region directly at nnlmmar@pitt.edu.

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This project is funded by the National Library of Medicine, National Institutes of Health, Department of Health and Human Services, under Cooperative Agreement Number UG4LM012342 with the University of Pittsburgh, Health Sciences Library System.

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