Several online and in-person training opportunities can help jump-start your learning of data science topics. Some of the short courses and intensive training programs listed below are offered in conjunction with NIH Big Data To Knowledge (BD2K) initiative programs. BD2K is a trans-NIH initiative established to enable biomedical research as a digital research enterprise, to facilitate discovery and support new knowledge, and to maximize community engagement. Read more »
On Feb. 29, NIH will host a Rare Disease Day event to raise awareness about rare diseases, the people they affect and current research collaborations. An estimated 25 million people in the United States have rare diseases. The event will feature presentations, posters, exhibits, an art show and tours of the NIH Clinical Center – a hospital at which researchers are studying nearly 600 rare diseases in partnership with over 30,000 patients. The event will be broadcast online. Read more »
This post includes a roundup of events where National Institutes of Health (NIH) Data Science and Big Data to Knowledge (BD2K) initiatives will be represented, an overview of current funding, and a recap of the Big Data to Knowledge Multi-Council Working Group meeting held last month. Learn more about the Data Science at NIH site. Read more »
Join us on Monday, March 7th from 8:30 – 2:30 at the University of Washington or online as we explore this fascinating and timely topic with leaders in the field. More information is available on the website, and registration is open. Professional Development funds are available for PNR members.* https://nnlm.gov/data-forum
*Please register by Feb. 29th is you are seeking Professional Development funds.
Dazzle your clients, colleagues, classmates (and yourself!)! This class covers concepts of visually representing data and proven tools that are effective in making data understood at a glance. Students will increase their knowledge on data visualization concepts and a variety of data visualization applications. Students will complete assigned exercises that they will share with their class peers. Class participants are expected to spend 1.5 hours on content learning, 3 hours of in-depth learning on student selected tool/application and preparing their class assignment, and .5 hours on peer critique.
Participants will be able to:
- Increase their knowledge of using visual representations of data and various data visualization tools.
- Design a data visualization with a data set on a selected tool.
- Discuss peer submitted data visualizations to enhance understanding of the data presented.
March 14 – April 8, 2016 (4 weeks), online/asynchronous via Moodle
5 MLA CE credits
On February 17, join us for the PNR Rendezvous on How Patients Use Social Media. Our guest presenters will be health and science journalist Sally James and patient advocate, Stacey Tinianov. Sally and Stacey will lead you through how patients, as well as clinicians and researchers, increasingly use Twitter and Facebook to find and exchange many kinds of health information: including technical information about diseases, comparisons of treatments, as well as support for survivor issues in chronic and rare diseases. Live chats on these platforms draw thousands weekly. Some researchers break news about peer-reviewed journal articles first on Twitter. Other researchers are recruiting subjects directly on social media. This webinar will provide practical examples to help you explore and understand how these resources are used and how moderators “curate” and archive tweets and posts from such conversations so they remain accessible.
We hope you can join us but if not, the session will be recorded. Check the PNR Rendezvous webpage a couple of days after the live session.
When: February 17, 1:00pm Pacific Time, Noon Alaska Time, 2:00pm Mountain Time Read more »