This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.


Research Data Management and Sharing


Research Data Management and Sharing


Instructors: Helen Tibbo
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744 reviews
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There are 5 modules in this course
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Reviewed on Apr 23, 2020
The course was well-paced, well-organized, and clearly expressed. A wealth of resources were provided while keeping the instructional videos concise but detailed. Thoroughly enjoyable!
Reviewed on Sep 5, 2020
Even though I am well-experienced in doing research, all the knowledge I learned from the course is worth a GEM! Truly, a wonderful course!
Reviewed on Aug 11, 2020
Good introduction for data management and sharing. Main concepts are explained and the most important, the real importance of a data management plan for a research at any area
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.



