Thank you funders!
CRADLE MOOC partially funded by:
Institute of Museum and Library Services
School of Information and Library Science, UNC-
Odum Institute for Research in Social Science,
University of Edinburgh Information Services
…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
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
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.
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.
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
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
Understanding Research Data
Data Management Planning
Working with Data
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 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
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)
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
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.
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
Need to monitor various parts of course for
For more information…
Visit the course
Twitter hashtag: #RDMSmooc
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.