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The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
The institutional perspective on research data management
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The institutional perspective on research data management

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A presentation given to a University of Hull event on institutional challenges to supporting research data management

A presentation given to a University of Hull event on institutional challenges to supporting research data management

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  • 1. The InstitutionalPerspectiveChris AwreResearch Data Management @ Hull: What You Need To Know29 January 2013What we’re doing to meet data management challenges, and how you fit in
  • 2. Starting points• Management of research data happens– Existing activity is acknowledged• Current research data management (RDM) initiatives arebased on three main trends– The amount of data is growing (the data deluge)– Data management is required more, across multipledisciplines– Increasing perception of the value of data– …and a fourth – demonstrating return on investmentResearch Data Management @ Hull | 29 January 2013 | 2
  • 3. RDM @ Hull: Why?• In many cases current practice may be sufficient• But…– Funder requirements may not always be feasible to implementat the project level– Institution level services and support can help meetrequirements and save the cost of repeating activity acrossmultiple projects– National and international data centres may also beappropriate for use• Data management is not just storing the data securely– Building the value of the data through active, localmanagementResearch Data Management @ Hull | 29 January 2013 | 3
  • 4. RDM @ Hull: What?Research Data Management @ Hull | 29 January 2013 | 4
  • 5. RDM @ Hull: When?• When to manage data?– At all stages of the research lifecycle• Key to enabling this is making it easy to embed– Minimise effort, whilst demonstrating benefits of effortundertaken• Timetable?– Our decision– EPSRC requirements have to be met by May 2015– What advantage can we gain from enhancing our datamanagement?Research Data Management @ Hull | 29 January 2013 | 5
  • 6. RDM @ Hull: Who?• Research data management support is not the sole responsibilityof any current support service – nor should it be– But we can all work together to create the whole picture ofsupport• Units involved, currently and potentially:– Library and Learning Innovation– Research Funding Office– ICTD– Knowledge Exchange– Faculty/Departmental admin– Others?• How can we complete the jigsaw?Research Data Management @ Hull | 29 January 2013 | 6
  • 7. RCUK data management principles• Publicly funded research data are a public good, and should beavailable• Follow best practice for data management, now and in the future(for preservation)• Ensure the data is well-described and access is clear• Acceptance that there are good reasons why data isn’t shared, butthat these should be monitored• Researcher should have some sole use of data generated• Data sources should be acknowledged/cited• Public funds can be used to manage data, using efficient meansResearch Data Management @ Hull | 29 January 2013 | 7
  • 8. EPSRC data management roadmapResearch Data Management @ Hull | 29 January 2013 | 8AwarenessPoliciesandprocessesDatacurationResourcingNine expectationsPreservingNon-digitaldataMetadataPublicationlink to dataManageaccess
  • 9. How can we support these?• Spread the word– Advocacy opportunities• Increase awareness of third-party services we can use– National/international data centres, etc.• Increase understanding of data curation– Staff development requirement?• Roadmap has associated actions– Assess potential contribution to these– Identify others that may apply, or add to current actions, tohelp meet the expectation• Use the RDM Working Group to channel ideas, suggestions andissuesResearch Data Management @ Hull | 29 January 2013 | 9
  • 10. University Research Data Management WorkingGroup• Cross-Faculty and cross-service– Started, January 2013• Timetable– Jan-Jun 2013 – Gather information on needs and options– July-Dec 2013 – Identify, scope and implement supportas feasible– Jan 2014 – Review progress and make recommendationsfor follow-on activity• Further information will be disseminated via the websiteResearch Data Management @ Hull | 29 January 2013 | 10
  • 11. Research data management websiteResearch Data Management @ Hull | 29 January 2013 | 11Key webresourcesShare goodresourcesEventinformationVideosContactinformationGuidanceExternalinformationfeeds? – what wouldyou like to seeadded
  • 12. Assessing current practice• Benchmarking current practice helps to inform where tofocus support effort• Using a brief questionnaire (informed by DCC CARDIO tool)to capture input on:– Data management planning, assessment and skills– Research data storage, preservation and sharing– Policy, strategy development and finance• Questionnaire road tested in Chemistry– Aim to refine and use it more extensively over comingmonthsResearch Data Management @ Hull | 29 January 2013 | 12
  • 13. Research bid submission• RFO liaising with ICTD and LLI to highlight research bidsbeing developed– Identify potential need (data and otherwise)– Scope appropriate resourcing in budget– Contribute to quality of the bid• What other communication could take place at this earlystage?– How can we realise the value of data to be generated andensure we manage it appropriately?Research Data Management @ Hull | 29 January 2013 | 13
  • 14. Data management planning• History DMP project– October 2011-March 2012• Project outputs– Draft Data Management Planning template document– Case studies of use– Repository enhancements– Linked data investigation• Plan is available for use across the University– FHSC adapted this for their use• DMPOnline version coming soonResearch Data Management @ Hull | 29 January 2013 | 14
  • 15. Hydra digital repository / Research storage service• Underlying technology supporting data management• Hydra– Holds a number of datasets currently– System addresses a number of the EPSRC expectations• Metadata, publication link to data, manage access• Contribute to preservation and data curation• Research Storage Service– ICTD initiative to provide storage to assist with management ofresearch data during research• Also investigating use of the Cloud• Data preservation and data curation also addressed hereResearch Data Management @ Hull | 29 January 2013 | 15
  • 16. DIY RDM? We are not alone• Research data management is happening across HE– Experience and expertise is growing• The initiatives underway are:– Making use of available tools and adapting/exploitingthem for Hull– Taking us down a path that many others are following• We can all learn from each other• Need to map local needs against available external support,and fill in the gaps locally– Develop tailored University of Hull RDM supportResearch Data Management @ Hull | 29 January 2013 | 16
  • 17. Data catalogue• We cannot store and manage all data– Too much of it– Not all is worth keeping (curation guidelines?)• Some can be managed elsewhere– Disciplinary data centres, national and international• Keeping a local record of where data is will be key toeffectively managing it over time, wherever it is– Generate a data catalogue– Hydra proposed as local tool to support this– Suggestions of mechanism to build this welcomeResearch Data Management @ Hull | 29 January 2013 | 17
  • 18. Context, context, context…Research Data Management @ Hull | 29 January 2013 | 18ResearchoutputsDigitalarchivesMultimediaLearningmaterialsResearchdataResearch data managementdoes not sit in isolationIt is one type ofdigital contentIt is one type ofcontent workflowThere may be similar processes we can adaptThere may be joint developments that serve more than one need
  • 19. To summarise• Research data management comprises many parts• Hence, we need to work together with researchers tomutually support RDM• There are a number of activities being undertaken• The current initiatives will help us work toward a matureservice platform for research data– How can you contribute?– What else might we usefully do?Research Data Management @ Hull | 29 January 2013 | 19
  • 20. Thank youc.awre@hull.ac.ukQuestions…?
  • 21. Next steps
  • 22. What happens next?• RDM Working Group meetings scheduled monthly• Website expansion• Further development of research bid workflows• Further benchmarking• …Research Data Management @ Hull | 29 January 2013 | 22
  • 23. RDM communication• How to stay in touch?– Email– eBridge/SharePoint site– Meetings/events– …• Aim– To all understand what each area of support cancontribute and get from data management– Flag up gapsResearch Data Management @ Hull | 29 January 2013 | 23

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