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.

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

2. www.coursera.org/learn/data-management #RDMSmooc

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