[Asis-l] Official Launch: NIH BD2K Biomedical Research Data Management MOOC

[Goldman, Julie]

Countway Library of Medicine, Harvard Medical School is pleased to announce the launch of the course “Best Practices for Biomedical Research Data Management” offered through Canvas Network.

This course is offered free of charge and has been funded by the National Library of Medicine of the National Institutes of Health Big Data to Knowledge (BD2K) Initiative for Research Education (Award Number R25LM012284).

Course Listing: http://bit.ly/HMS-RDM-MOOC<https://urldefense.proofpoint.com/v2/url?u=http-3A__bit.ly_HMS-2DRDM-2DMOOC&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=4CifwTA75cY0ZaxZdhJnr9VZE--ELNxlMlTE8IF3QJ0&m=YJkdRoC3lLmDnG9WFYRrzrnEEPtnVTIWpq6_XivrGWA&s=1GA_6Y_VciwosjYbxqX1h5H3WK5fj1TCD2bRx4xF7-M&e=>

Why is this course relevant?

Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research. In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data. This course is designed to address present and future data management needs.

What will you learn from this course?

Each of the MOOC’s nine modules are dedicated to a specific component of data management best practices, including: types of data, benefits of data sharing, research data life cycle, data documentation, ensuring data privacy, legal and ethical concerns, data sharing and reuse policies, data preservation, and the collaborating roles of key stakeholders in the biomedical research enterprise. Complete Course Learning Objectives<https://osf.io/vrnfx/wiki/MOOC%20Objectives/>

Who is this course for?

This course is aimed at a broad audience including librarians, biomedical researchers, undergraduate and graduate biomedical students, and all other interested individuals. The course is open to all, self-paced, and students may participate in the entire course, or focus on specific module topics of interest. We encourage you to explore the module topics and tailor your learning experience for your own professional needs.

Who is teaching this course?

Elaine Martin and Julie Goldman of Countway Library of Medicine, Harvard Medical School are the Lead Instructors and developers of the course. However, you will find lectures from 18 different presenters from across New England from a variety of public and private institutions including MIT, WPI, UMASS, Northeastern, and others! Complete Instructor Profiles<https://osf.io/vrnfx/wiki/Instructor%20Profiles/>

How is the course set up?
This course presents approximately 20 hours of content. Each module contains video lectures, presentation slides, readings & resources, research teaching cases, interactive activities, discussion questions and concept quizzes.

Find out additional information and how to enroll on the Course Listing: http://bit.ly/HMS-RDM-MOOC

Read a recent blog posting from the Future of Research<http://futureofresearch.org/2018/01/05/what-a-pilot-course-taught-us-about-biomedical-research-data-management-practices/>

Read the Canvas Blog post from Project PI Elaine Martin<https://blog.canvaslms.com/en/launch-open-course-biomedical-research-data-management>

Questions may be directed to: Julie Goldman (Julie_Goldman at hms.harvard.edu)<mailto:Julie_Goldman at hms.harvard.edu)>

Best wishes for Research Data Management learning and training in 2018!

Elaine Martin and Julie Goldman


Julie Goldman | Research Data Services Librarian | Harvard Medical School | Harvard Library
Countway Library of Medicine Suite 242 | Harvard Medical School | Boston, MA 02115
email: julie_goldman at hms.harvard.edu<mailto:julie_goldman at hms.harvard.edu> office: 617.432.5269 orcid: 0000-0001-8037-0623
https://datamanagement.hms.harvard.edu<https://datamanagement.hms.harvard.edu/>