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Panayiota Polydoratou e-mail: p.polydoratou@ucl.ac.uk

Experimenting with the trial of a research data audit: some preliminary findings about data types, access to data and factors for long term preservation. Panayiota Polydoratou e-mail: p.polydoratou@ucl.ac.uk UCL DAF: http://www.ucl.ac.uk/ls/data-audit. Outline of the presentation.

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Panayiota Polydoratou e-mail: p.polydoratou@ucl.ac.uk

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  1. Experimenting with the trial of a research data audit: some preliminary findings about data types, access to data and factors for long term preservation Panayiota Polydoratou e-mail: p.polydoratou@ucl.ac.uk UCL DAF: http://www.ucl.ac.uk/ls/data-audit

  2. Outline of the presentation • Project’s info • UCL Data Audit Framework - Context • Definitions – Information audit and primary data • Methodology • Results • Summary

  3. UCL DAF – project info • JISC – Digital Repositories programme 2007-2008 (http://www.jisc.ac.uk/whatwedo/programmes/digitalrepositories2007.aspx) • 7 months • 18 August 2008 – 17 March 2009 • Collaboration with the DAF development team • HATII, DCC

  4. UCL – some data • 1826 – Research-led institution • 4000 academic and research staff • 20 Nobel Laureates since 1901 • Professor Sir Martin Evans in the field of Physiology of Medicine, in 2007 • UCL 9th of the world top 200 universities (THE, 2007) • a recent bibliometric study placed UCL in the 2nd place of most productive research institutions in Europe (van Raan, 2008)

  5. UCL DAF – the context • Research data are important • Potential for re-use and sharing • Few institutions have formal strategies for curating research data • Need for a method that enables us to quickly and easily establish an overview of holdings as well as existing data management practices

  6. Information Audit – a definition • ‘‘A process for discovering, monitoring and evaluating an organisation’s information resources in order to implement, maintain, or improve the organisation’s management of information’’. Buchanan, S., & Gibb, F. (1998). The information audit: An integrated strategic approach. The International Journal of Information Management, 18(1), 29–47.

  7. Primary research data • Primary research data are data produced within the timeframe of a project/research work/lifetime. They are unprocessed (often referred to as raw data), original, generated by machines or humans and are regarded as the core of any research activity.

  8. The methodology • 4 stages • Planning the audit. (Appoint auditor, establish business case, research the organisation, set up the audit, etc.) • Identifying and classifying assets (Collect information about the organisation’s holdings, use methods such as surveys and interviews to identify and classify assets, prepare the inventory, set up meetings to assess findings, etc.) • Assessing management of data assets (prepare and conduct interviews to assess vital assets, etc.) and • Reporting and recommendations.

  9. Trialling • Pick your moment • Questionnaire survey • Interviews • The forms for collecting the data • The results

  10. The questionnaire • Questionnaire survey: • brief characteristics of the participants/nature of research activity • data types, characteristics of research, attributes of primary research data • brief description of primary research data to match information requested in Form 2 of the methodology

  11. Summary • Yes, primary data are important • Yes, they acquire value through context and use • Yes, there are potential for re-use • Yes, when linked to Information Strategy and embedded in the research process • Yes, complying with legal requirements • Yes, through automatic capturing of associated info • Yes, with training and support • Yes, with a tangible result in mind

  12. Further information • Data Audit Framework Development: • http://www.data-audit.eu • DAF methodology: • http://data-audit.eu/methodology.html • UCL DAF pilot: • http://www.ucl.ac.uk/ls/data-audit

  13. Thank you!

  14. References • Buchanan, S., & Gibb, F. (1998). The information audit: An integrated strategic approach. The International Journal of Information Management, 18(1), 29–47. • Buchanan, S and Forbes Gibb (2007). The information audit: role and scope. International Journal of Information Management, 27, pp. 159-172. doi:10.1016/j.ijinfomgt.2007.01.002 • Times Higher Education (2007). World University Rankins: top 200 world universities. Information available at: http://www.timeshighereducation.co.uk/hybrid.asp?typeCode=144

  15. van Raan, A.F.J. (2008). Bibliometric statistical properties of the 100 largest European research universities: Prevalent scaling rules in the science system. Journal of the American Society for Information Science and Technology, 59(3): p. 461-475. Pre print available at:http://arxiv.org/abs/0704.0889 • UCL facts and figures. Information available at: http://www.ucl.ac.uk/research/facts/

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