Big Data 2 Knowledge: Guide to the Fundamentals of Data Science, Debrief and Discuss
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 and precision medicine is being shared through The Big Data to Knowledge (BD2K) Initiative online lecture series*, which supplies the content for this course. Most of the sessions provided essential training suitable for individuals at an introductory overview level, discussing the data science that underlies modern biomedical research. Presentations were delivered by data science experts from across the country covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to “big data” in biomedicine.
Support for data researchers at all points of the research lifecycle is likely to become a primary role for health sciences librarians. What kinds of library support researchers want and what kinds of skills librarians need to have in order to meet the needs 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 and implemented.
*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).
Students completing each section of the course will be able to articulate what role the librarian can play to support researchers in the data lifecycle with the instructors. Students who do not see a role for libriarans will be able to articulate reasons why.
1. View one (or more) of the live BD2K Guide to the Fundamentals of Data Science Series recordings
2. Contribute a guided reflection for each video watched. Student must respond to the required question and at least one of the other 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 their data lifecycle at your institution? If you view there is no role, describe why.
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?
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