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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
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
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
A little bit about Cambridge:
Extremely fragmented
Local support solutions
o variable quality
Whole range of research data types and
requirements for RDM support
What are we trying to achieve?
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers RDM
support
RDM support offered:
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers
Data management plan
https://dmponline.dcc.ac.uk/
www.data.cam.ac.uk/support/external
Guidance on data management plans
www.data.cam.ac.uk/DMPsupport
www.data.cam.ac.uk/DMPsupport
Guidance on data management plans
RDM support offered:
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers
www.data.cam.ac.uk
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
www.data.cam.ac.uk/data-faq
Frequently Asked Questions
They really are!
From discussion
with over 1450
researchers
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
RDM support offered:
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers
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)
www.data.cam.ac.uk/events
Training and support
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…
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
Constant outreach
Twitter: @CamOpenData
Newsletter sign up:
http://www.data.cam.ac.uk/research-data-
management-newsletters
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
RDM support offered:
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers
How to share research data?
www.data.cam.ac.uk/repository
Cambridge data repository
(DSpace)
www.data.cam.ac.uk/upload
www.data.cam.ac.uk/upload
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
RDM support offered:
Applyingfor money
Start of the project
Project duration
Sharing data
Publishingyour
papers
www.openaccess.cam.ac.uk
Unresolved problems:
hopes for the Jisc Shared Services
Issues:
Big data: upload and download
Confidential data:
oRisk of data release
oManaged access
Long-term data preservation and data
curation
Avoiding ‘data dumps’
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
Main advantages:
Sharing = increased efficiency:
oCost- and time-efficiency:• Less resources wasted
oCritical thinking:• Brainstorming
• Joint evaluation of ideas
o Integration
THANK YOU
Enquiries about research data: [email protected]
Data website: www.data.cam.ac.uk
Unlocking Research blog: https://unlockingresearch.blog.lib.cam.ac.uk/
My e-mail: [email protected]
Follow us on Twitter: @CamOpenData
