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Mar

17

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NNLM PNR Twitter Chat

Posted by on March 17th, 2017 Posted in: Data Science, News From NNLM PNR


Edited: 4/12/17 Here is a link to the transcript of the #nnlmpnrchat about data on 4/11/17: https://www.symplur.com/healthcare-hashtags/nnlmpnrchat/

Please join us for the first NNLM PNR Twitter chat, on Tuesday, April 11, from 12:00 – 1:00 pm, PST. The subject will be data, and the hashtag is #nnlmpnrchat. A twitter chat is a prearranged time to meet on Twitter and discuss a particular topic. To find the tweets in our conversation, search #nnlmpnrchat in the search box.

To learn more about Twitter chats, see Twitter Chat 101.

From the the Symplur Project: “A Twitter chat affords Twitter users the opportunity to engage in conversation with each other. A chat can either emerge from a new community that coalesces around a particular subject or keyword, or serve to focus the conversation of an existing community … Twitter hashtags, including those relevant to the healthcare industry, help to organize conversations on specific topics.”

 

Our two newest staff members, Research & Data Coordinators Ann Glusker and Ann Madhavan, will be featured! Topics include:

  • Data literacy
  • Access to NIH data
  • Research Data Management Plans
  • Training and Technology
  • What is Big Data?
  • Advocacy for Open Access
  • Data respositories
  • Reporting requirements for clinicaltrials.gov

If you have any specific questions, please email them to devine@uw.edu, or just attend the chat and ask questions then. A transcript of the chat will be available from the Symplur Healthcare Hashtag Project. Questions? Contact Patricia Devine at 206-543-8275 or devine@uw.edu. See you then!

Image of the author ABOUT Patricia Devine
Medical Librarian, Network Outreach Coordinator, NN/LM, PNR. I work for a network of libraries and organizations with an interest in health information.

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Developed resources reported in this program are supported by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM012343 with the University of Washington.

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