Marta Teperek talks about the University of Cambridge experience in managing research data for the Jisc RDM workshop.

1. Research Data Services at Cambridge
and our motivations for the Pilot
Marta Teperek
Research Data Facility Manager
University Library / Research Operations Office
22 February 2016

2. A little bit about Cambridge:
 18,000 students; 9,000 staff
 31 Colleges
 6 Schools:
o Arts and Humanities
o Biological Sciences
o Clinical Medicine
o Humanities and Social Sciences
o Physical Sciences
o Technology
 150 Departments and Institutes

3. A little bit about Cambridge:
 Extremely fragmented
 Local support solutions
o variable quality
 Whole range of research data types and
requirements for RDM support

4. What are we trying to achieve?
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers RDM
support

5. RDM support offered:
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers

6. Data management plan
https://dmponline.dcc.ac.uk/
www.data.cam.ac.uk/support/external

7. Guidance on data management plans
www.data.cam.ac.uk/DMPsupport

8. www.data.cam.ac.uk/DMPsupport
Guidance on data management plans

9. RDM support offered:
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers

10. www.data.cam.ac.uk

11. www.data.cam.ac.uk/funders
Funder names
arranged
alphabetically. Click
on the hyperlink
below to see the
full-length policy.
Key policy
highlights
Date of the last
update/policy check

12. www.data.cam.ac.uk/data-faq
Frequently Asked Questions
 They really are!
 From discussion
with over 1450
researchers

13. Clarification on funders’
policies/negotiations with funders
 EPSRC:
https://unlockingresearch.blog.lib.cam.ac.uk/?p=151
 BBSRC:
https://unlockingresearch.blog.lib.cam.ac.uk/?p=337
 UK Concordat on Open Research Data:
https://unlockingresearch.blog.lib.cam.ac.uk/?p=285
 Wellcome Trust:
https://unlockingresearch.blog.lib.cam.ac.uk/?p=525
 Cancer Research UK:
https://unlockingresearch.blog.lib.cam.ac.uk/?p=528

14. RDM support offered:
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers

15. Huge engagement programme
 We have spoken with 1465 academics
 58 individual information sessions about data
sharing
 27 different training events and workshops
 22,146 visits to www.data.cam.ac.uk
(as of December 2015)

16. www.data.cam.ac.uk/events
Training and support

17. Intense education/training programme
 Workshops on research data management
 Software management and sharing
 Data provenance
 Data licensing
 Introduction to Data Science
 How to publish useful data?
 Managing social media research data
 Research metrics
 And many, many others…

18. Open Data Panel Discussion
https://upload.sms.cam.ac.uk/media/2113537
https://storify.com/CamOpenData/odpd15
https://unlockingresearch.blog.lib.cam.ac.uk/?p=392

19. Constant outreach
Twitter: @CamOpenData
Newsletter sign up:
http://www.data.cam.ac.uk/research-data-
management-newsletters

20. Postcards & banners
All promotional materials can be downloaded from
www.lib.cam.ac.uk/librarians/oa/oa_promo.html
Postcards & banners
All promotional materials can be downloaded from
www.lib.cam.ac.uk/librarians/oa/oa_promo.html

21. RDM support offered:
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers

22. How to share research data?
www.data.cam.ac.uk/repository

23. Cambridge data repository
(DSpace)
www.data.cam.ac.uk/upload

24. www.data.cam.ac.uk/upload

25. Number of datasets received:
0
50
100
150
200
250
300
350
2005 2015
Number of data submissions received
April 2015:
Launch of the easy-
to-use data upload
72
322
In less than 1 year 3.5 times more datasets than during a decade
Data from 22
December
2015

26. RDM support offered:
Applying
for money
Start of the
project
Project
duration
Sharing
data
Publishing
your
papers

27. www.openaccess.cam.ac.uk

28. Unresolved problems:
hopes for the Jisc Shared Services

29. Issues:
 Big data: upload and download
 Confidential data:
o Risk of data release
o Managed access
 Long-term data preservation and data
curation
 Avoiding ‘data dumps’

30. Priorities:
 1. End goal:
Repository accepting big data and sensitive data, with
good preservation workflows
 2. Success factors/improvements:
Improvement of workflows for handling confidential
(restricted data) and big data
 3. MVP:
User-friendly repository where data is discoverable and
where different types of data can be stored

31. Main advantages:
Sharing = increased efficiency:
o Cost- and time-efficiency:
• Less resources wasted
o Critical thinking:
• Brainstorming
• Joint evaluation of ideas
o Integration

32. THANK YOU
Enquiries about research data: info@data.cam.ac.uk
Data website: www.data.cam.ac.uk
Unlocking Research blog: https://unlockingresearch.blog.lib.cam.ac.uk/
My e-mail: marta.teperek@admin.cam.ac.uk
Follow us on Twitter: @CamOpenData