Tools and support to help you before, during and after your research project: BEFORE: plan how you will collect, manage, and store your data, including storage and backup, sensitivity of the data, and whether it can be shared; DURING: find and analyse data, store and backup active data, synchronise your data across devices and with research collaborators, and version your software and files; AFTER: record, share, and archive your data for the long-term; TRAINING AND SUPPORT: online and face-to-face workshops and courses, plus direct support when you need it.
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1.818 TB used as of May 2016
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Managing active research in the University of Edinburgh
Managing active research in
the University of Edinburgh
University of Edinburgh
Oxford, 6 July 2016
Elements of the presentation
• Funded & unfunded research, PGR
• Managing & support for …
– research grants
– research outputs
– research data
• Simplified research lifecycle
– (before – during – after)
New Research Management and
Administration System (grants)
Worktribe - Empowering and supporting research administrators
and investigators from idea through costing, approvals, award, post-
award management and closure.
• A recent requirements and procurement project focused on
delivery of a new 'Worktribe Research Management' system to
support improved pre-award and post-award business processes
across the University.
– 3 pilot schools / institutes November 2015
– Go-live across university April 2016
• The new 'Worktribe Research Management' system is integrated
with the existing Finance, HR and PURE systems.
Managing research outputs:
guidance for authors; OJS
1. Make your work Open Access 5. Acknowledge your funder
2. Use your name consistently 6. Statement on research data
3. Use an ORCID identifier 7. Cite the DOI and OA links
4. Institutional affiliation 8. Claim your digital space
‘Ensure your research reaches the widest possible global audience, is eligible
for submission in research assessment exercises, and fulfils funder
Type, format volume of data, chosen software
for long-term access, existing data, file naming,
structure, versioning, quality assurance process.
Information needed for the
data to be read and
interpreted in future,
methodology, definition of
variables, format & file type
Restrict access to data, risks
to data security, appropriate
methods to transfer / share
Secure & sufficient storage for active
data, regular backups, disaster recovery
Make data publicly
available (where possible)
at the end of a project,
license data, any
restrictions on sharing,
Select data to keep,
decide how long data
will be kept, in which
involved in long-term
Managing Research Data
(from researcher training)
Who manages active data?
• RDM Policy (2011) sets out roles and
responsibilities for researchers & the
– Researchers are responsible for their work
– Enabling role of institution
• Services, including stewardship
• Monitoring compliance
• Principal Investigators
• Research Institutes & Schools 6
From RDM programme to
Research Data Service…
• RDM programme a result of both
bottom-up (‘action group’) activity and
top-down policy implementation
• Services had various providers and their
purpose and names were confusing
• New single service has
SO & SOM with Virtual Team
across Information Services
Finding and analysing data
• What is Data Library & Consultancy?
• The Data Library & Consultancy team assists
researchers to discover and use datasets for
analysis, learning and teaching.
• Data librarians are available to help you find
answers to data-related questions.
• Tools include a data catalogue and the Survey
Documentation and Analysis online data
• What is DataStore?
• DataStore is file storage for active research
data, and is available to all research staff and
postgraduate research students (PGRs).
• DataStore provides a free individual allocation
for each researcher, as well as shared group
spaces. Additional capacity of virtually any size
• What is DataSync?
• DataSync is a tool to synchronise and share
research data with collaborators. It has an app
to synchronise data to computers and mobile
devices, and a web interface to allow access to
data from any web browser.
• Data can be shared with anyone who has an
email address, via the web interface.
• What is Subversion?
• Subversion is a version control tool which allows users
to store code. It is also available as an extension called
SourcEd which provides a web based collaboration
tool integrated with your repository.
• When documents stored in a Subversion repository
are updated the old versions are kept so you can
revert if necessary. The service also allows multiple
people to collaborate on documents.
Data management support
One-to-one support is available on the following
areas of RDM:
• Writing and reviewing DMPs;
• Creating SOPs for metadata collection and
• Creating SOPs for good data management
• Choosing a data repository and preparing data
for deposit and publication
Training - Online
• MANTRA: MANTRA is a free, non-credit, self-
paced course designed for postgraduate
students and early career researchers which
provides guidelines for good practice in
research data management
• Research Data Management and Sharing
MOOC: This free five-week course - created by
the Universities of Edinburgh and North
Carolina - is designed to reach learners across
disciplines and continents. 19
• Creating a data management plan for your
• Managing your research data: why is it
important and what should you do?
• Working with personal & sensitive research
• Good practice in research data management
• Handling data using SPSS