Health Sciences Library support for data researchers and computer scientists is a new role for health sciences librarians. Work being done in biomedical big data fields and precision medicine is being shared through The Big Data to Knowledge (BD2K) Initiative's weekly online lecture series discussing the data science underlying modern biomedical research. The series began in September 2016 and is scheduled to run through early 2017. The weekly presentations are from experts across the country covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to “big data” in biomedicine. The webinar series will provide essential training suitable for individuals at an introductory overview level. All video presentations from the seminar series will be streamed for live viewing, recorded, and posted online for future viewing and reference. This webinar series is a collaboration between the TCC, the NIH Office of the Associate Director for Data Science, and BD2K Centers Coordination Center (BD2KCCC). Support for data researchers at all points of the research lifecycle is likely to become a primary role for health sciences librarians. What kind of library support researchers want and what kinds of skills librarians need to have in order to meet that need remain unanswered questions. If health sciences librarians want to provide meaningful contributions to a growing field, discussions need to take place and action plans need to be created.
The Debrief and Discussion follows the weekly session in an online webinar room with other health sciences librarians interested in this topic. There are two ways to participate. Synchronous and Asynchronous...see details below.
CE Contact Hours: 2 per session attended
The learning objective of the live debriefing discussions is to increase awareness of the roles the librarian can play to support researchers in the data lifecycle.
1. Attend Fridays (9am-10am PT | 10am-11am MT | 11am-noon CT | noon-1pm ET ) when Webinars are broadcast through May 2017: http://www.bigdatau.org/data-science-seminars
2. Join 10 minutes post webinar discussion (~30 minutes): http://nih.webex.com/meet/johnbramble
Discussion Questions (everyone is expected to engage in the discussion):
a. In the context of health information access (organization of information, research, findability, etc.) what role can the librarian play to support researchers in their data lifecycle at your institution?
b. What assets do librarians have to bring to the table?
c. What skills do librarians need?
d. What Resources are needed?
e. Who are the most important stakeholders librarians need to align with to get a seat at the table?
3. Submit session evaluation
The learning objective of the self-paced discussions is for the individual to be able to articulate what role the librarian can play to support researchers in the data lifecycle with the instructor.
1. View one of live or recorded BD2K Guide to the Fundamentals of Data Science Series. Recordings available here: https://www.youtube.com/channel/UCKIDQOa0JcUd3K9C1TS7FLQ
2. Contribute responses to questions. https://nnlm.gov/moodle/course/view.php?id=650
3. Register to access Moodle (if you are reading this it means you are registered)
Discussion Questions (There is one required question and one or more of the optional questions):
a. (REQUIRED RESPONSE) In the context of health information access (organization of information, research, findability, etc.) what role can the librarian play to support researchers in the data lifecycle?
b. (OPTION) What assets do librarians have to bring to the table?
c. (OPTION) What skills do librarians need?
d. (OPTION) What Resources are needed?
e. (OPTION) Who are the most important stakeholders librarians need to align with to get a seat at the table?
In order to earn the full MLA CE contact hours, your submissions must be well written and thoughtful or you will not earn the full MLA contact hour credits.
4. Evaluate the session. Evaluation link will be emailed to you after your submission has been graded (pass/fail).
If you have any questions or comments, contact firstname.lastname@example.org