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Research Data Management and Sharing

The University of North Carolina at Chapel Hill and University of Edinburgh via Coursera


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.

Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository.

This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh.

This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services.

Hashtag: #RDMSmooc

Taught by

Helen Tibbo, Sarah Jones (Guest Instructor) and Cuna Ekmekcioglu


4.0 rating, based on 2 Class Central reviews

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  • This is a great introductory course in handling research data through its entire life cycle. With global digitization, all researchers (and even non-researchers) should understand these principles and apply related best practices to maximize the inputs to generate data.
  • Adam Quek

    Adam Quek completed this course, spending 1 hours a week on it and found the course difficulty to be easy.

    The presentation and the topic is a little dry and examples tend to be American-centric. Still, it's great to have a course that put together bits and pieces of knowledge that I come across daily during my academic research work-life.

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