Biomedical and health sciences librarians are invited to participate as students or mentors in a rigorous online training course going beyond the basics of research data management. This course will expand on concepts covered in RDM 101: Biomedical and Health Research Data Management Training for Librarians, and threaded throughout will be the librarian’s role in research reproducibility and research integrity and include practice in using Jupyter notebooks. Mentors will assume the role of a researcher with a dataset seeking data services support and will scope research questions to form the basis for mentee projects.
The major aim of this course is to provide an introduction to the support of data science and open science with the goal of developing and implementing or enhancing data science training and services at participants’ institutions. This material is essential for decision-making and implementation of these programs, particularly instructional and reference services. The course topics include an overview of data science and open science, data literacy, data wrangling, data visualization, and leadership. The course will run February 20 – April 12, 2019.
Both student and mentor applications are due January 4, 2019.
Additional details and online applications are available at https://wp.me/p8Qzkf-2La.