DataScience@NIH

Driving Discovery Through Data

0 Ten Advances in Data Science at NLM
Patti Brennan / 06.22.17

The 2015 report from the Advisory Committee to the NIH Director regarding the future of the National Library of Medicine recommended that "NLM should be the intellectual and programmatic epicenter for data science at NIH and stimulate its advancement throughout biomedical research and application." Over the past two years we’ve taken several steps in this direction and have laid plans for a few others.

Here’s a quick recap of what we’ve done and what’s on the horizon:

  1. We’ve created an organizational home for data science, the Data Science Coordinating Unit, headed by Mike Huerta, PhD, NLM Coordinator for Data Science and Open Science Initiatives.
  2. We’ve released a new funding opportunity seeking research that makes the benefits of data science accessible to patients and consumers.
  3. We’ve expanded our extramural investments in data science research and training.
  4. Come October 2017 we’ll accept the deposit of data in support of articles in PubMed Central.
  5. We’ve enriched PubMed citations with links to related data sets in local repositories. 
  6. We’ve made multiple enhancements to ClinicalTrials.gov.
    • It now includes both trial registration and summary results.
    • Records link to study documents in other systems and to related articles in PubMed.
    • We’ve made it possible to append relevant study documents (e.g., informed consent, study protocol).
    • And, with the help of 18F, we have improved the public interface. (Try it now!)
  7. Our NCBI team is working on a cloud-implementation of safe, secure, and persistent storage of whole human genome sequences and other large, important data sets.  They will link dbGaP records, permissions, and access management to long-term storage files.
  8. We’re partnering across NIH to develop the NIH and national data science workforce.
  9. We’re collaborating with national and international partners, such as the Wellcome Trust and ASAPbio, on data science and open science initiatives, including the effective use of preprints.
  10. We’re working with NCBI and the Common Fund to launch the Data Commons Pilot Phase to test ways to store, access, and share FAIR biomedical data and associated tools in the cloud.  Join us at the informational webinar covering the associated NIH Data Commons Pilot Phase Research Opportunity Announcement RM-17-026 Friday, June 23, 2017 from 12-2 PM US EDT.

We have more ground to cover to reach the data-powered future we envision, but through it all, NLM will be working closely with the other NIH institutes and centers to establish an NIH-wide vision of data science and open science research and resources. Watch here for further updates.

 

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