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Posts by category: Data Science

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Jul

28

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Connect with NIH Data Science Community – Join Data Science SIG

Posted by on July 28th, 2017

The NIH is inviting researchers, clinicians, educators (including librarians), patients, and the public to join the NIH Data Sciences Special Interest Group. The main goals of the group are to aid in disseminating new information, resources and activities; provide a place where the community can discuss and facilitate collaboration; and a place to share data… Read More »

Posted in: #CC/Academic List, #Health Sciences List, Data Science

Jul

20

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ERuDIte – Educational Resource Discovery Index/BD2K Training Coordinating Center

Posted by on July 20th, 2017

ERuDIte is the educational resource discovery index that supports biomedical researchers, a service of the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte functions to: Identify, store and synthesize large volumes of relevant educational resources in a scalable fashion Maintain a schema that aligns with other resource collection initiatives to promote data sharing Serve high-quality,… Read More »

Posted in: #CC/Academic List, #Health Sciences List, Data Science

Jul

14

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Crowdsourcing and Citizen Science – key to data quality and utility?

Posted by on July 14th, 2017

The NIH Citizen Science Working Group, made up of several dozen NIH staff, investigates and shares best practices related to citizen science and crowdsourcing, and engages with other agencies and groups promoting citizen science in other fields. One of the primary purposes of the group is to explore how to incorporate citizen science into biomedical… Read More »

Posted in: #CC/Academic List, #Health Sciences List, Data Science

Jul

11

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Interesting Read: The Power of Provenance and importance of FAIR

Posted by on July 11th, 2017

Dina Mikdadi’s, Data Scientist at Booz Allen Hamilton, has written a nice article on “The Power of Provenance” on the DataScience@NIH blog. Mikdadi makes  comparisons with the Federal Depository Library’s early efforts using “open framework” concepts making US federal publications freely accessible to US libraries (and the public) to the FAIR (Findable, Accessible, Interoperable, and… Read More »

Posted in: #CC/Academic List, #Health Sciences List, Articles, Data Science

Jun

22

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DataScience@NIH News: Patti Brennan Promotes 10 Advances in Data Science

Posted by on June 22nd, 2017

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.” Read summaries about NLM’s efforts from the past two years and learn about… Read More »

Posted in: #CC/Academic List, #Health Sciences List, Data Science

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