RoaDMaP: Leeds Research Data Management Pilot

Rachel Proudfoot

Project Manager

About Leeds

• Large, research-intensive university

• Russell Group• 33,223 students, 8,240 PG• 7,543 staff• 9 Faculties• Research income 2010/11

£124m“..world-class research, scholarship and education”

RoaDMaP Project

• JISC Funded Project in the Research Data Management Programme

• Jan 2012-June 2013• DCC, F5, National Instruments (lab experiment data

capture)• RDM policy, case studies, training requirements, repository

and storage options• Project Director, Brian Clifford (Deputy Librarian)• Collaborative project

Why / how is the Library involved

• UKRDS (2008), JISC Building Capacity – stakeholders• Repository work (White Rose)• EPSRC requirements – RD Working and Steering Groups• RoaDMaP – collaborative

• Project – repositories, metadata, training• Understanding roles

Repositories / data catalogue / metadata

• Build on what’s there? Create new systems?• RoaDMaP trialling DataFlow from Oxford but keeping an

eye on Eprints.• What is a trusted repository?• CRIS – linking systems together- facilitation• Metadata – split opinions• White Rose – data catalogue• (White Rose RDM event write up)

White Rose event feedback

• “why did I have to come to York to meet my Leeds/Sheffield colleague?”

• “we have relevant skills for research data management”• “we don’t have relevant skills for research data

management”• “research support should be a dedicated role”• “research support should be built in to our role – JDs”• “doing this is risky”• “not doing this is risky”

• “Are we trying to fill a gap in the market that doesn’t exist?”• “Why compromise our credible, hard won relationships with

academics around teaching and learning”

What roles?

• To signpost, you need understand the landscape• Local..• Networking and communications• Picture of who is involved - RoaDMaP• Understand and build on what’s there

• systems / expertise e.g. data survey• External..• Funder requirements• Data repository landscape

Training

• Working group• Evaluating training resources• PhD – e.g. electronic theses• Gather evidence – examples of good and bad practice,

issues highlighted by researchers, data reuse, collate• Where data meets scholarly communications

–data citation– journals and data–“a statement on how the underlying research materials – such as

data, samples or models – can be accessed” RCUK

Aspirational RDM Policy

Be prepared

• DCC• Share experience • Help others share experience• Look at different routes / scenarios• ‘Incremental’• Identify and play to strengths first • Reuse• Watch out for RDMRose

RoaDMaP

• http://library.leeds.ac.uk/roadmap-project • http://researchdata.leeds.ac.uk

Picture credits• Rear view mirror andrewpaulcarr -

http://www.flickr.com/photos/andrewpaulcarr/260994811/ • Old MFD2 JMC photos -

http://www.flickr.com/photos/jmcphotos/2131206015/ • Sign post – Kay Gardens St Evan. Cavanagh -

http://www.flickr.com/photos/stevencavanagh/3424640946/