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Midwest Matters November 23rd, 2024
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Posts by category: Data Science

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Dec

01

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Seeing the Forest and the Trees: Why Librarians Can Make Valuable Contributions Working with Big Data

Posted by on December 1st, 2017 0 comments Tags: ,

In the NNLM Big Data in Healthcare: Exploring Emerging Roles course, we asked participants, as they progressed through the course to consider the following questions: Do you think health sciences librarians should get involved with big data in healthcare? Where should librarians get involved, if you think they should? If you think they should not,… Read More »

Posted in: Data Science

Nov

16

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Reflections on Big Data in Healthcare: Exploring Emerging Roles

Posted by on November 16th, 2017 0 comments Tags: ,

In the NNLM Big Data in Healthcare: Exploring Emerging Roles course, we asked participants, as they progressed through the course to consider the following questions: Do you think health sciences librarians should get involved with big data in healthcare? Where should librarians get involved, if you think they should? If you think they should not,… Read More »

Posted in: Data Science

Oct

31

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Potential Roles for Health Sciences Librarians in Big Data

Posted by on October 31st, 2017 0 comments Tags: ,

In the NNLM Big Data in Healthcare: Exploring Emerging Roles course, we asked participants, as they progressed through the course to consider the following questions: Do you think health sciences librarians should get involved with big data in healthcare? Where should librarians get involved, if you think they should? If you think they should not,… Read More »

Posted in: Data Science

Oct

30

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NNLM Professional Development Awardee, Noreen Mulcahy attends Pure Information, the 2017 Midwest Chapter/MLA Conference

Posted by on October 30th, 2017 0 comments

The NNLM Professional Development Award made it possible for me to attend Pure Information, the 2017 Midwest Chapter/MLA Conference in Ypsilanti, MI.  The event was held from Saturday, October 14-Monday, October 16 at the Marriott at Eagle Crest. As part of the award, I had the opportunity to take the class Data Management for Librarians,… Read More »

Posted in: Data Science, Funding, Success Stories

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This project has been funded in whole or in part with Federal funds from the National Library of Medicine, National Institutes of Health, Department of Health and Human Services, under Grant Number 1UG4LM012346 with The University of Iowa.

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