RDM and data sharing landscape: overview for Salford DCC training 20140522


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Research data management and data sharing: a brief overview of where we are in the UK right now and some main drivers and benefits. Prepared for Salford university Digital Curation Centre training session, 22 May 2014. Contains material from across DCC resources.

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RDM and data sharing landscape: overview for Salford DCC training 20140522

  1. 1. Research data management: overview of benefits and drivers Laura Molloy Digital Curation Centre Laura.Molloy@glasgow.ac.uk
  2. 2. The DCC mission “Helping to build capacity, capability and skills in data management and curation across the UK’s higher education research community” Phase 3 Business Plan www.dcc.ac.uk
  3. 3. What is research data management and curation? Active management, adding value and maintaining access to research data over the course of its scholarly lifecycle.
  4. 4. What is driving this agenda in the UK? • Several factors making RDM a key issue for many UK HEIs • These factors are international and are affecting research practice in many countries (US, Canada, Australia, EU…)
  5. 5. Managing research data – some historical context declaration data are a public good and should be openly available (2004); Led to this publication (2007):
  6. 6. Digital data as the new special collections? Sayeed Choudhury, Johns Hopkins
  7. 7. Benefits of data sharing (1) www.nytimes.com/2010/08/13/health/research/ 13alzheimer.html?pagewanted=all&_r=0 “It was unbelievable. Its not science the way most of us have practiced in our careers. But we all realised that we would never get biomarkers unless all of us parked our egos and intellectual property noses outside the door and agreed that all of our data would be public immediately.” Dr John Trojanowski, University of Pennsylvania ... scientific breakthroughs
  8. 8. Benefits of data sharing (2) www.guardian.co.uk/politics/2013/apr/18/ uncovered-error-george-osborne-austerity ... validation of results “It was a mistake in a spreadsheet that could have been easily overlooked: a few rows left out of an equation to average the values in a column. The spreadsheet was used to draw the conclusion of an influential 2010 economics paper: that public debt of more than 90% of GDP slows down growth. This conclusion was later cited by the International Monetary Fund and the UK Treasury to justify programmes of austerity that have arguably led to riots, poverty and lost jobs.”
  9. 9. Benefits of data sharing (3) “There is evidence that studies that make their data available do indeed receive more citations than similar studies that do not.” Piwowar H. and Vision T.J 2013 "Data reuse and the open data citation advantage“ https://peerj.com/preprints/1.pdf 9% - 30% increase ... more citations
  10. 10. Data management planning: can help guard against data loss and damage http://blogs.ch.cam.ac.uk/pm r/2011/08/01/why-you-need- a-data-management-plan Plus direct benefits to individuals
  11. 11. Funders’ expectations of public access “Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property.” RCUK Common Principles on Data Policy (2011) http://www.rcuk.ac.uk/research/datapolicy/
  12. 12. Drivers in UK research Code of Good Research Conduct (2009): Data should be preserved and accessible for 10 years+ RCUK Common Principles on Data Policy (2011): http://www.rcuk.ac.uk/research/datapolicy/ Which funders are RCUK? AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC Priority: making research data available to users.
  13. 13. DCC resources: Research funder data policies summary www.dcc.ac.uk/resources/policy-and-legal/ overview-funders-data-policies
  14. 14. DCC resources: Overview of each funder’s policy • Links to data & publications policies • Summary of main stipulations • Pointers to support www.dcc.ac.uk/resources/ policy-and-legal/funders- data-policies
  15. 15. Generally, funders expect: • timely release of data - once patents are filed or on (acceptance for) publication • open data sharing - minimal or no restrictions if possible. Any restrictions well- justified. • preservation of data - typically 5-10+ years for data of long-term value • data management plans • created, used (and sometimes submitted!)
  16. 16. Thanks for listening! DCC guidance, tools and case studies: www.dcc.ac.uk/resources Follow us on twitter: @digitalcuration and #ukdcc