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Martin Donnelly Digital Curation Centre University of Edinburgh MANAGING AND SHARING RESEARCH DATA White Rose Perspectives on Research Data Management.

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Presentation on theme: "Martin Donnelly Digital Curation Centre University of Edinburgh MANAGING AND SHARING RESEARCH DATA White Rose Perspectives on Research Data Management."— Presentation transcript:

1 Martin Donnelly Digital Curation Centre University of Edinburgh MANAGING AND SHARING RESEARCH DATA White Rose Perspectives on Research Data Management event University of York, 24 May 2012

2 Running order I.DEFINITIONS II.DRIVERS III.SOME (IN)EQUATIONS IV.STAKEHOLDERS V.CURRENT WORK

3 I. DEFINITIONS

4 The DCC Mission Helping to build capacity, capability and skills in data management and curation across the UK’s higher education research community – DCC Phase 3 Business Plan

5 “the active management and appraisal of data over the lifecycle of scholarly and scientific interest” Data management is a part of good research practice What is Research Data Management? Manage Share

6 RLUKRDM Kevin Ashley, DCC, CC-BY Why manage research data? Enable reuse Control costs Research integrity Research impact –Linking data and publication –Making data citable Regulatory requirements Maximising value

7 Where is the data in research? The six datacentric phases of the research lifecycle

8 mulejunk/ / a&hs=Jl2&rls=org.mozilla:en-GB:official&biw=1366&bih Data...

9 “Research Data Management” -The phrase means different things to different people -Researchers may care enormously about their data, so much so that they worry about it going out into the world on its own -Others (e.g. those with responsibility for compliance) may worry about it not going out into the world, or going out when it shouldn’t / underdressed -Some may not even recognise the relevance of ‘data’ in what they do

10 II. DRIVERS

11 “Surfing the Tsunami” Science: 11 February 2011 The data deluge

12 Public good Preservation Discovery Confidentiality First use Recognition Public funding

13 RCUK Policy and Code of Conduct on the Governance of Good Research Conduct Unacceptable research conduct includes mismanagement or inadequate preservation of data and/or primary materials, including failure to: – keep clear and accurate records of the research procedures followed and the results obtained, including interim results; – hold records securely in paper or electronic form; – make relevant primary data and research evidence accessible to others for reasonable periods after the completion of the research: data should normally be preserved and accessible for 10 yrs (in some cases 20 yrs or longer); – manage data according to the research funder’s data policy and all relevant legislation; – wherever possible, deposit data permanently within a national collection. Responsibility for proper management and preservation of data and primary materials is shared between the researcher and the research organisation.

14

15 April EPSRC Letter to VCs EPSRC expects all those institutions it funds: -to develop a roadmap that aligns their policies and processes with EPSRC’s expectations by 1 st May to be fully compliant with these expectations by 1 st May 2015

16 Institutional Policies

17 JISC Legal Data Access as Headline News

18 6.9 The Research Councils expect the researchers they fund to deposit published articles or conference proceedings in an open access repository at or around the time of publication. But this practice is unevenly enforced. Therefore, as an immediate step, we have asked the Research Councils to ensure the researchers they fund fulfil the current requirements. Additionally, the Research Councils have now agreed to invest £2 million in the development, by 2013, of a UK ‘Gateway to Research’. In the first instance this will allow ready access to Research Council funded research information and related data but it will be designed so that it can also include research funded by others in due course. The Research Councils will work with their partners and users to ensure information is presented in a readily reusable form, using common formats and open standards. innovation-and-research-strategy-for-growth.pdf Government pressure…

19 III. SOME (IN)EQUATIONS

20 STORAGE ≠ MANAGEMENT

21 Greenhouse = storage Horticulture = management

22 MANAGEMENT ≠ SHARING

23 “While many researchers are positive about sharing data in principle, they are almost universally reluctant in practice using these data to publish results before anyone else is the primary way of gaining prestige in nearly all disciplines.” INCREMENTAL Project “Data sharing was more readily discussed by early career researchers.”

24 Rule 1. Don’t Keep It All

25 Rule 2. Don’t Share It All Data Protection Act Ethical concerns Commercial interests

26 Open to all? Case studies of openness in research Choices are made according to context, with degrees of openness reached according to: The kinds of data to be made available The stage in the research process The groups to whom data will be made available On what terms and conditions it will be provided Default position of most: YES to protocols, software, analysis tools, methods and techniques NO to making research data content freely available to everyone Angus Whyte, RIN/NESTA, 2010

27 Regulation

28 IV. STAKEHOLDERS

29 “The ability to take data -to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it -that’s going to be a hugely important skill in the next decades.” Hal Varian, Chief Economist, Google

30 Implications of “Big Data” and data science for organisations in all sectors Predicts a shortage of 190,000 data scientists by ation/Big_data_The_next_frontier_for_innovation

31 PositionLocation Science Data LibrarianStanford Data Management LibrarianOregon State Social Sciences Data LibrarianBrown Data Curation LibrarianNortheastern Data LibrarianNew South Wales Research Data Management Co-ordinator Sydney Research Data & Digital Curation Officer Cambridge Data Services LibrarianIowa Data AnalystANDS Institutional Data ScientistBath

32 1.Director IS/CIO/University Librarian 2.Data librarians /data scientist /liaison/subject/faculty librarians 3.Repository managers 4.IT/Computing Services 5.Research Support/Innovation Of fice 6.Doctoral Training Centres 7.PVC Research + Public Engagement Office Data roles Liz Lyon, Informatics Transform, IJDC Current Issue, 2012

33 V. CURRENT WORK

34 DCC institutional stakeholders University managers Researchers Research support staff with a role to play in data management, particularly those from University library / repository IT services Research and innovation Etc

35 Institutional Engagements With funding from HEFCE we’re: Working intensively with 18 HEIs to increase RDM capability – 60 days of effort per HEI drawn from a mix of DCC staff – Deploy DCC and external tools, approaches and best practice Support varies based on what each institution wants/needs – Institution agrees a schedule of work with the DCC, and each assigns a primary contact / programme manager Lessons and examples to be shared with the community

36 Some current IE activities Assessing needs RDM roadmaps Piloting tools e.g. DataFlow Policy development Policy implementation

37 Support offered by the DCC Assess needs Make the case Develop support and services RDM policy development Customised Data Management Plans DAF & CARDIO assessments Guidance and training Workflow assessment DCC support team Advocacy to senior management Institutional data catalogues Pilot RDM tools …and support policy implementation

38 To sum... ALL THE PIECES MATTER

39 CREDITS Images: Slide 3 – Slide 9 – Slide 10 – Slide 19 – Slide 21 – Slide 28 – Slide 33 – Slide 38 – Thanks to DCC colleagues for their slides: Kevin Ashley, Liz Lyon, Graham Pryor, Sarah Jones

40 QUESTIONS AND CONTACTS For more information: – Visit – – This work is licensed under a Creative Commons Attribution 2.5 UK: Scotland License.


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