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Marieke Guy Digital Curation Centre m.guy@ukoln.ac.uk

Marieke Guy Digital Curation Centre m.guy@ukoln.ac.uk. Bridging the gap between researchers and research data management .

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Marieke Guy Digital Curation Centre m.guy@ukoln.ac.uk

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  1. Marieke Guy Digital Curation Centre m.guy@ukoln.ac.uk Bridging the gap between researchers and research data management This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 UK: Scotland License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/scotland/ ; or, (b) send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. Funded by:

  2. Data, or units of information which are created in the course of funded or unfunded research The highest priority research data is that which underpins a research output Facts, statistics, qualitative, quantitative, not published research output, discipline specific Research data http://www.flickr.com/photos/charleswelch/3597432481//

  3. Research lifecycle Research process Research domain Other factors e.g. scale Partitioning research data

  4. RDM drivers External Internal • Government Open Agenda • Public pressure – data as a public good • Changes in funders’ data policies • Research now becoming more global and more ‘data Intensive’ – Riding the Wave report • Institutional need for better research integrity - REF • Best practice • Desire to be ‘good researcher’ and a well-cited researcher

  5. How do you manage data? Key questions to consider when: • Creating data • Documenting data • Storing data • Sharing data • Preserving data • Planning data management

  6. Consortium comprising units from the Universities of Bath (UKOLN), Edinburgh (DCC Centre) and Glasgow (HATII) launched 1st March 2004 as a national centre for solving challenges in digital curation that could not be tackled by any single institution or discipline funded by JISC with additional HEFCE funding from 2011 for the provision of support to national cloud services targeted institutional development Digital Curation Centre (DCC)

  7. Screen Shot 2012-05-03 at 11.14.00.png http://www.dcc.ac.uk/

  8. How to: appraise and select, cite data sets, develop a data management plan, licence research data • Access: embargoes, FOI • Storage: file-store, cloud, data centres, funder policy • Worked intensively Informatics: disciplinary metadata schema, standards, formats, identifiers, ontologies • New: How to set a RDM service – coming soon! How to cite data

  9. Institutional Engagements • Worked intensively with 20+ HEIs to increase RDM capability • 60 days of free effort per HEI drawn from a mix of DCC staff • Single point of contact - Senior Institutional Support Officer • Deploy DCC & external tools, approaches & best practice • Support varied based on what each institution wanted/needs • Lessons & examples to be shared with the community • www.dcc.ac.uk/community/institutional

  10. Who are we working with?

  11. Support from the DCC Institutional data catalogues Assess Needs Workflow assessment Pilot RDM tools DCC support team Develop support and services DAF & CARDIO assessments Guidance and training Customised Data Management Plans RDM policy development Advocacy with senior management Make the case …and support policy implementation

  12. DCC Tools • CARDIO (http://cardio.dcc.ac.uk) – Used at research group or department level to assess activity and data management infrastructure and contribute to an institution-wide view. • DAF(http://www.data-audit.eu) – Structured mechanism to identify what data exists, who claims responsibility for it and what long-term custody issues it presents. • DMPOnline tool (http://dmponline.dcc.ac.uk) – Creation of a customised DMPOnline, which develops data management plans that fit funder requirements before and after an award of grant. • Risk management (http://bit.ly/drambora)

  13. Knowledge organising systems • Institutional data registries and Current Research Information Systems (CRIS) • Retrieval systems: • Identifiers, e.g. for data, people & organisations (e.g. DOI, ORCID) • Citation frameworks, attribution, provenance (e.g. DataCite) • National / discipline-based data registries • Metadata standards (e.g. RIF-CF, CERIF, DCMI) – DCC catalog • Open data approaches and the use of semantic technologies (e.g. Linked Data)

  14. Case Study: Oxford Brookes • Steering group meeting attendance • Policy and EPSRC roadmap development • Conducted a DAF in 4 different faculties (Business, Health & Life Sciences, Humanities & Social Sciences, Technology, Design & Environment)- investigated data holdings, capacity growth, current practice etc. • DMP Online template • CARDIO lite exercise • Training sessions for researchers and librarians

  15. immersiveInformatics • Pilot training programme • Research data management training for HE support services • Run in parallel at Uni of Bath and Uni of Melbourne • Modular training - 10 modules delivered at approximately one module per week, delivered in one-day F2F workshops • Supported with a suite of resources • Two modules will feature Immersive Research Department Days (IRDDs) and will involve shadowing practising researchers • Participants will work on a real dataset and create a data diary

  16. Reflections: small is beautiful • Less hierarchy  quicker approval • Smaller scale  easier to engage research community • Researchers more willing to work with the centre • Senior management more hands-on Existing tools & resources + quicker process of change = opportunity for smaller, modern institutions to storm ahead

  17. Socio-organisational factors • Awareness by HEIs of the value of research data as a component of their knowledge store • High-level management commitment – pilot services • Fostering of relationships across departments, disciplines and support groups • Engagement with external stakeholders e.g. commercial partners and funders • Training for researchers, librarians, support staff

  18. Components of RDMsupport service From ‘How to develop RDM services’

  19. Final thoughts.. • DCC has published reports, case studies, blog posts and best practice guides • Process has vehicle for embedding good practice within small group - broader impact on the HE community • Possible to identify changes in research data management practice as a result of institutional engagements • External interest in programme • New tranche of engagements planned – with changes – DCC 121 • Much overlap with knowledge organisation field of study

  20. Any questions? • Thanks to my DCC colleagues for help with my paper and slides

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