Research Data Management Overview and Introduction
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Transcript of Research Data Management Overview and Introduction
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Research Data Management Overview and Introduction
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Topics• What is research data management (RDM)
and why is it important– National landscape and external drivers– Newcastle University response/policy/implications
• Data lifecycle models• Problems, practical strategies and solutions• Benefits and barriers
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What is RDM?“Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results.”
Whyte & Tedds, 2011http://www.dcc.ac.uk/resources/briefing-papers/making-case-rdm
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External drivers• Research funder policies (e.g. RCUK, charities)– Require Open Access, RDM plans or 'technical
appendices'• Volume of digital research data ‘big data’• Legislation & litigious environment– DPA, FOIA
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Newcastle University• Providing excellent research infrastructure– Significant financial implications – More efficient research processes– Avoiding data loss– Benefits of data reuse
• Better oversight of research outputs
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What is research data?• Any material required to re-validate the results of
research– Not only quantitative, tabular "hard scientific" data– Can include photographs, sculptures, letters,
speeches, music… etc.• No limited definition stated in Newcastle
University's draft RDM policy principles & code of good practice
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• Digital– Computer hard disc/s and archive– Separate external drives– Cloud
• Analogue– Paper– Tapes
Storing your research data
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ACTIVITY: YOUR RESEARCH DATA
What types of research data do you create and use?Where do you keep it?
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UK Data Archive data lifecycle Creating
Data
Processing Data
Analysing Data
Preserving Data
Giving access to Data
Re-using Data
• A dataset has a longer lifespan than the research project that created it
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Create
Document
Use
Store
Share
Preserve
Digital Curation Centre (DCC) data activity lifecycle • A dataset
has a longer lifespan than the research project that created it
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DCC curation lifecycle modelI. Full lifecycle actionsDescription and Representation Information, Preservation Planning, Community Watch and Participation, Curate and Preserve
II. Sequential actionsConceptualise, Create or Receive, Appraise and Select, Ingest, Preservation Action, Store, Access, Use and, Reuse, Transform
III. Occasional actionsDispose, Reappraise, Migrate
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ACTIVITY: YOUR RESEARCH DATA CYCLE
Can you improve your research data management?Where are the weak points?
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Benefits for the researcher• Meet funding body grant requirements• Enhanced security/reduced risk of data loss• Improved use of resource(s), reduced
duplication, access to external datasets• Verification of research publication claims• Stimulation of new collaborations and research
opportunities
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Benefits for the "public good"• Better value for the "public purse"• Building research and knowledge• Data and records are accurate, complete,
authentic and reliable• Comply with legal and ethical considerations• Research integrity and replication
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ACTIVITY: BARRIERSWhat are the barriers to participating?
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In summary• RDM concerns the careful management of
data throughout its lifecycle• Newcastle University is making a strong
institution-wide response• The benefits outweigh the barriers!
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Acknowledgements• iridium project (http://research.ncl.ac.uk/rdm/) • Netskills (http://www.netskills.ac.uk) • Digital Curation Centre (DCC) (http://www.dcc.ac.uk/)• The UK Data Archive
– http://www.data-archive.ac.uk/create-manage• DaMaRO RDM Training Materials, University of Oxford
– http://damaro.oucs.ox.ac.uk/training_materials.xml • Research data MANTRA [online course], EDINA and Data Library,
University of Edinburgh– http://datalib.edina.ac.uk/mantra/