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Birgit Plietzsch “RDM within research computing support” SALCTG June 2013

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An overview of Research Data Management: the research process from developing ideas to preservation of data; funder perspectives, the impact on the wider service, Data Asset Frameworks, preservation and access, and cost implications.

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Birgit Plietzsch “RDM within research computing support” SALCTG June 2013

  1. 1. Dr Birgit Plietzsch, Research Computing Team LeaderRDM within Research Computing supportSALCTG, 18 June 2013
  2. 2. RDM: The destination“The next generation of scientific discovery will be data-drivendiscovery. ... We need to make sure we capture value fromthis mass of data – both for economic growth and for socialadvances, such as better health. ... This requires atransformation in data management.”(Speech by the Chancellor of the Exchequer, Rt Hon George Osborne MP, to the Royal Society(9 November 2012))“As a first step towards thisintelligent openness, datathat underpin a journalarticle should be madeconcurrently available in anaccessible database. We arenow on the brink of anachievable aim: for allscience literature to beonline, for all of the data tobe online and for the two tobe interoperable.”(The Royal Society. Science as an OpenEnterprise: The Royal Society Science PolicyCentre Report 02/12 (June 2012), p. 7)
  3. 3. • National / international effort:– Economic benefits– Subject-specific, not institutional• RDM affects the entire University:– Training and advice:• Creation• Access & Sharing• Metadata• Appraisal and selection– Storage and technical maintenance– Cataloguing– Physical space:• ICT infrastructure• Paper records– Strategies, policies and procedures:• University-level• HR• Service-level– Cost recovery• Finance Advice and Support team• Requirement for processes:– RDM planning:• Project• Service providers• Long-term access:– Digital preservationRDM: The journeyResearch Computing Service interfaceswith RDM• Training & advice: data creation, long-term storage, technical standards• Storage and technical maintenance• Service-level strategy & procedures• Cost recovery• RDM planning (at project and servicelevel)• Technical solutions for RDM and digitalpreservation
  4. 4. Research Computing Service2003 Arts Computing Advisor2008 Developer for Arts and Humanities projects2011 Research Computing Service2013 University approval for 2 new posts:- Research Computing Advisor- Applications Developer (Research Computing)VisionTo provide innovative and advanced digital technologies and researchcomputing services of nationally and internationally recognised quality andstandards, which will facilitate research excellence at the University of StAndrews.(Research Computing Strategy, http://www.st-andrews.ac.uk/itsupport/academic/research/about/strategy/ )
  5. 5. Research projects(pre-)applicationstage• Development of ideasTechnical requirements gathering (software, hardware, technical development and data requirements)• Planning the Research Computing Service• Cost recoveryProjectstage• Confirmation of requirements• Technical development work• Storage and backup• Enabling access & sharing• TrainingPost-projectstage• Hosting of research outcomes enabling access & sharing enabling use & re-use• Technical maintenance• [long-term preservation]University / service view
  6. 6. Research projectsFunder perspective•“This is an exceptionally well written proposal, setting out its general goals with clarity.The applicant gives confidence at every level, presenting few issues for thought orclarification. The digital outcomes are well defined, and supported by relevantresources and management. This is likely to produce a very successful resource, withusefulness to scholars and the general public alike.”Quality of applications•“The IT people will be very important in this project, and I dont know them, butcertainly the on-line databases provided by St Andrews which I have used are reliableboth technically and intellectually. It seems safe to assume, therefore, that this side ofthings will also be successful.”Technical support / skillavailable to the projectteam•“It is good to see the technical work being carried out in the context of an institutionalcommitment to the digital humanities, as evidenced by the Universitys Arts Researchand Teaching Server and the support of the universitys Research Computing Team.”Institutionalcommitment /sustainability of projectoutcomes
  7. 7. Research Computing ServiceGeneric needsSchool 1• Project 1a• Project 1bSchool 2• Project 2a• Project 2bSchool 3• Project 3a• Project 3bSharedsolutionRepository-type solutionsImage database(http://imagedatabase.st-andrews.ac.uk/)Digital ArchiveDigital Collections Repository(http://arts.st-andrews.ac.uk/digitalhumanities/)reduction of resource required fordevelopment and technicalmaintenancespeed of servicesubject & project-specificdescription needs
  8. 8. Impact of RDM on the service• Formalisation of procedures– RDM planning (DMPonline?)– Service review (Data Asset Framework, CARDIO)• Increase in scale and volume of activities• Increased co-operation with other parts of theUniversity• Technically accommodate better use and re-use of data• Long-term storage requirement– Digital preservation starts at the point of data creation!• Cost recovery
  9. 9. Data Asset Framework(DAF)• Framework for auditing of departmental datacollections, awareness, policies and practice for datacuration and preservation– Online tool: http://www.data-audit.eu/tool2/• Get an idea of current RDM practices within academicSchools• Interviews using open questions:– Managing Data– Access and Sharing– Preservation and Archiving– Existing RDM support provision– RDM policy
  10. 10. DAF Action Points(Science Schools)• Provide training in RDM• Produce a comprehensive list of services offered centrally• Improve the responsiveness and flexibility of central servicesto better meet the needs of researchers• Undertake extensive outreach and advocacy work to buildawareness of and trust in central services
  11. 11. DAF Action Points(Arts Schools)• Confirmation of existing central research computing supportservice provision:– Applications for funding / RDM planning– Technical development work– Training• Long-term storage / digital preservation• Requests for support of unfunded research
  12. 12. Collaborative Assessment ofResearch Data Infrastructure andObjectives (CARDIO)• Benchmarking tool for data management strategydevelopment, typically applied at the departmentor research group level– Online tool: http://cardio.dcc.ac.uk/• Involvement:– Data creators (DAF)– Information managers– Service providers• Monitor service provision– Alignment with institutional goals and academicrequirements
  13. 13. Use and re-use of data• Technology can accommodate some of this• Development of flexible solutions– APIs• Programming code is data!– Open Source / Open Standard solutions• Economics• Active developer community• Long-term commitment• Visualisation / Analysis tools
  14. 14. Long-term access• Need for digital preservation:– What?– How?– How long for?• Technical and procedural components– Digital archiving project
  15. 15. Open Archival InformationSystem (OAIS)ISO 14721:2003Functional Overview
  16. 16. OAIS procedural overview
  17. 17. Cost of RDM• For example:– Hardware– Software– Storage & backup• Rule of thumb: 1TB = £30k over 25 years– Staff:• Hardware implementation and maintenance• Technical development• preparation of the data for access and curation (incl. the additionof metadata)• Data collection• Data analysis• Sharing
  18. 18. Cost of RDM: Funder perspective• RCUK Common Principles on Data Policy(http://www.rcuk.ac.uk/research/Pages/DataPolicy.aspx):– Principle 7: “It is appropriate to use public funds to support the managementand sharing of publicly-funded research data. To maximise the researchbenefit which can be gained from limited budgets, the mechanisms for theseactivities should be both efficient and cost-effective in the use of publicfunds.”• Efficient use of such money• Funders are looking for research benefits where money is spent.– Principle 2: “Institutional and project specific data management policies andplans should be in accordance with relevant standards and community bestpractice. Data with acknowledged long-term value should be preserved andremain accessible and usable for future research.”• Not all data should remain accessible or be preserved.• Retention of data is the decision of the researcher. If data is kept, it should be kept inaccordance with funder policies.
  19. 19. Cost of RDM: Funder perspective• DMP: principles under which the data is going to be madeavailable• Institutional plan, policy or operational document:institutional infrastructure that is provided for making dataavailable• Justification of Resources of applications for funding:– What exactly it is that they expect funders to pay?• the cost of collecting data• the cost of curating data• the cost of analysing data• the cost of preservation and sharing• Further detail:http://research-computing.wp.st-andrews.ac.uk/2013/05/01/funding-rdm/
  20. 20. Further resources• DCC web site: http://www.dcc.ac.uk• JISC MRD– Some projects to look at via:http://www.jisc.ac.uk/whatwedo/programmes/mrd.aspx• Books– Graham Pryor (ed.) Managing Research Data (2012)– Adrian Brown. Practical Digital Preservation (2013)
  21. 21. Summary• RDM requires co-operation across institutions• Research Computing:– Contribute towards RDM planning– Provide and maintain technical solutions– Contribute towards costings / institutional costrecovery– Contribute towards RDM training• RDM is bigger than that!
  22. 22. Any questions ?Dr Birgit Plietzsch, Research Computing Team Leaderbp10@st-andrews.ac.uk01334 462315@birgitplietzschblog: http://research-computing.wp.st-andrews.ac.uk/