Data librarymarch2011

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Short intro to Data Library activities as part of Library Roles in Research Data Management local event at University of Edinburgh.

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  • Sam Searle & Robin Rice at Monash University, January 2009http://jisc-datashare.blogspot.com/2009/02/data-walkabout-7-melbourne.htmlMy last Data Walkabout stop, Melbourne, coincided with both the Australian Open and a 44C/110F heat wave (but preceded the terrible bush fires in Victoria). Sam Searle, Data Management Coordinator for Monash University Library, was my highly organised host (pictured). She not only arranged a sell-out seminar for me at Monash, but also a lift to Clayton campus with Peter Mathews (Monash University Library Planning Executive) and another back with Gaby Bright (eResearch Communication, VERSI) in time for a full afternoon of meetings at the University of Melbourne. (Considering that train tracks were buckling from the heat, I was very grateful for the escorts!)
  • Sam Searle & Robin Rice at Monash University, January 2009http://jisc-datashare.blogspot.com/2009/02/data-walkabout-7-melbourne.htmlMy last Data Walkabout stop, Melbourne, coincided with both the Australian Open and a 44C/110F heat wave (but preceded the terrible bush fires in Victoria). Sam Searle, Data Management Coordinator for Monash University Library, was my highly organised host (pictured). She not only arranged a sell-out seminar for me at Monash, but also a lift to Clayton campus with Peter Mathews (Monash University Library Planning Executive) and another back with Gaby Bright (eResearch Communication, VERSI) in time for a full afternoon of meetings at the University of Melbourne. (Considering that train tracks were buckling from the heat, I was very grateful for the escorts!)
  • A data library is normally part of a larger institution (academic, corporate, scientific, medical, governmental, etc.) established to serve the data users of that organisation.
  • The pressure brought to bear on researchers to improve their data management and data sharing practice has come from research funders seeking to add value to expensive research and solve cross-disciplinary grand challenges; publishers seeking to be responsive to calls for transparency and reproducability of the scientific record; and the public seeking to gain and re-use knowledge for their own purposes using new online tools. Higher education institutions have been rather reluctant to assert their role in either incentivising or supporting their academic staff in meeting these more demanding requirements for research practice
  • Data librarymarch2011

    1. 1. Library roles in research data management – visit from Sam Searle to UoE, 22 March 2011<br />Tea and coffee available from 2.00.<br />2.30 - Robin Rice: Welcome. Data Library services and projects related to research data management.<br />2.45 - Sam Searle: Library roles in research data management - experiences from Monash University.<br />3.15 - Discussion.<br />3.30 - Sheila Cannell: Getting a research data management policy for the University of Edinburgh.<br />3.45 - Jeff Haywood: University of Edinburgh storage strategy. Final remarks.<br />1<br />
    2. 2. 2<br />Sam Searle & Robin Rice at Monash University, January 2009<br />//jisc-datashare.blogspot.com/2009/02/data-walkabout-7-melbourne.html<br />
    3. 3. Data Library services and projects: 2011<br />Data Library & consultancy<br />Edinburgh DataShare<br />JISC-funded projects <br />DISC-UK DataShare (2007-2009)<br />Data Audit Framework Implementation (2008)<br />Research Data MANTRA (2010-2011)<br />3<br />
    4. 4. 4<br />What is a data library? <br />A data library refers to both the content and the services that foster use of collections of numeric, audio-visual, textual or geospatial data sets for secondary use in research. <br />Focus on re-use of data<br />
    5. 5. Data Library service at UoE<br />finding…<br />accessing …<br />using …<br />teaching …<br />5<br />iStock Photo, ChartsBin and mkandlez on flickr<br />
    6. 6. ‘New’ data repository service<br />6<br />
    7. 7. Project findings - e.g. barriers to deposit<br />Lack of clarity about ethics, rights, ownership<br />Fear of errors found by users<br />Fear of ‘scooping’<br />Poor documentation<br />Lack of incentives / reward<br />7<br />Donald McLeod on flickr<br />
    8. 8. Responses to project findings<br />Develop services & support for research data management (in partnership with rest of IS)<br />Develop online guidance<br />Develop training <br />Develop university policy<br />8<br />
    9. 9. RDM web guidance<br />Recognition that institution can/should provide guidance to researchers on RDM<br />Online suite of web pages developed for IS website in 2009<br />http://www.ed.ac.uk/is/data-management<br />9<br />
    10. 10. Research Data MANTRA (MANagementTRAining)<br />Creation of open online learning materials in RDM for postgrads and early career researchers<br />Grounded in three disciplines, working with graduate schools<br />Video stories from senior researchers in variety of settings<br />Data handling exercises in four software analysis packages. <br />10<br />.ash on flickr<br />
    11. 11. Increasing pressure for change<br />Research funders seeking to add value<br />Publishers responding to demand <br />Public wanting access to publicly funded data<br />Universities reluctant to step up to challenge?<br />11<br />Wwarby on flickr<br />

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