Designing and delivering an international MOOC on Research Data Management and Sharing
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This document discusses the design and delivery of an international MOOC on research data management and sharing. The MOOC was created by Dr. Helen Tibbo of UNC-Chapel Hill and Robin Rice of the University of Edinburgh. It was partially funded by several organizations and aimed to educate librarians, researchers, and students on best practices for data management, sharing, and archiving. The MOOC covered topics like understanding research data, data management planning, working with data, sharing data, and archiving data. Feedback from participants showed they found the course informative and useful for learning about research data management.
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Designing and delivering an international MOOC on Research Data Management and Sharing
- 1. Designing and Delivering an International MOOC on Research Data Management & Sharing DR. HELEN R. TIBBO UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL ROBIN RICE UNIVERSITY OF EDINBURGH
- 3. Thank you funders! CRADLE MOOC partially funded by: Institute of Museum and Library Services School of Information and Library Science, UNC- Chapel Hill Odum Institute for Research in Social Science, UNC-Chapel Hill University of Edinburgh Information Services
- 4. …data scientists [including] librarians [and] archivists… have the responsibility to design and implement education and outreach programs that make the benefits of data collections and digital information science available to the broadest possible range of researchers, educators, students, and the general public. – National Science Board, 2005
- 5. Curating Research Assets and Data Using Lifecycle Education CRADLE http://cradle.web.unc.edu/ is a collaborative effort of the School of Information and Library Science http://sils.unc.edu, the H. W. Odum Institute for Research in Social Science http://www.odum.unc.edu, and the University Libraries http://library.unc.edu/ at the University of North Carolina at Chapel Hill. The CRADLE project is sponsored by the Institute of Museum and Library Services (IMLS), under award #RE-06-13-0052-13. CRADLE will run 2013-2017. CRADLE
- 6. CRADLE’s Objectives Build a network among data curation faculty, researchers, students, and practitioners; Create and disseminate model online and face-to-face educational tools and online courses; Provide the videos and online guides as self-paced courses made accessible online through “Free University” platforms (MOOCs), thus extending CRADLE’s impact to professionals and researchers around the world.
- 7. CRADLE & MOOC Audiences Librarians and archivists managing research data and working with research data creators; Information and library science master’s and doctoral students who will work as managers of research data or conduct data curation research and provide education to future data managers, and Researchers in the social, health, and physical sciences who need to write data management plans and more generally, learn how to manage their own data before it reaches a repository.
- 8. MOOC’s contents Understanding Research Data Data Management Planning Working with Data Sharing Data Archiving Data
- 10. MANTRA MOOC Objectives University of Edinburgh heavily involved in MOOCs & online education (support & encouragement) First skills-based MOOC from UoE Certificate of completion a common request by MANTRA learners MANTRA as a MOOC? Or MANTRA & a MOOC? Division of labour to complete sooner! Great mix of cross-Atlantic perspectives & advice Focus equally on researchers + librarians
- 11. Sources of data Welcome survey (self-select sample via Qualtrics as of 30 June) Coursera dashboard (as of 27 June) End of course survey (self-select sample via Qualtrics as of 30 June)
- 13. Current role in RDM
- 14. Expectations for involvement in the course
- 15. Expectations from the course
- 23. Reviews It's a great course!! Great course! very good course! (3 reviews) This is a an important topic and more scientists (and students in the sciences) should learn about this but the quizzes are not great as a learning aid and my motivation is running through lows. I found this to be an excellent course. I have been teaching myself about data management for about the last two years as part of my work. I have read many documents, taken one course and have been to a couple of workshops. But I still felt that I was missing a lot of information - especially if I am to help researchers with their DMPs. Finally, thanks to this course, I have the more in depth information that I need. The topics covered, and the way they were covered also helped me to paint a better picture in my mind of the "whole process of data management" - an not just disjointed information which I felt I had. It's very useful. I recommend this course. A very informative course. i learnt a lot.
- 28. Issues from feedback Difficult to get quizzes right Need to check transcription of videos Variety of speakers desirable Peer review of assignments does not cause problems (but not included in completion requirements) Need to monitor various parts of course for learner problems
- 29. For more information… Visit the course www.coursera.org/learn/data-management Email us tibbo@ils.unc.edu, r.rice@ed.ac.uk Twitter hashtag: #RDMSmooc
Editor's Notes
- A MOOC is a Massively Open Online Course
- Total Visitors Registered Coursera users (mobile and web) who visited your course since it started. Active Learners Unique enrolled learners who viewed a reading or discussion, began watching a video, or began an assessment; includes both mobile and web users. Course Completers Learners who have passed every graded assessment.
- All values are rolling two-week averages Continuation rate - percentage of learners who continue to engage with the course after opening an item; for modules, percentage who continue after opening any item in the module. First attempt average score - average first attempt score on an assessment; for modules, weighted average (according to the course grading formula) of first attempt scores on all graded assessments in the module.
- Average time spent per week: 3.9 hours