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Establishing a UQ Research Data Management Service


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Dr Rebecca Deuble's presentation at eRA 2017 workshop on Research Integrity and Ethics in the Cloud

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Establishing a UQ Research Data Management Service

  1. 1. Establishing a UQ Research Data Management Service Dr Rebecca Deuble Scholarly and Communication Services, UQ Library, The University of Queensland, Brisbane, Australia
  2. 2. Overview • Background • Research integrity issues at UQ • New infrastructure – UQ Research Data Manager (RDM) system • Roll-out of RDM – training, education, policy and procedures • Benefits associated with the RDM service
  3. 3. University of Queensland, Brisbane • Research-intensive • 6 faculties and 8 research institutes • 50+sites – hospitals, mines, farms etc. • 50,000+ students (4,600 HDR students) • Academic Staff (FTE) = 6,700
  4. 4. Images taken from: Todd, H., & Morgan, H. (2017, August). Why horror stories don’t lead to nightmares. Paper presented at the IFLA World Library and Information Congress, Wroclaw, Poland.
  5. 5. Images taken from: Todd, H., & Morgan, H. (2017, August). Why horror stories don’t lead to nightmares. Paper presented at the IFLA World Library and Information Congress, Wroclaw, Poland.
  6. 6. Common cloud-based storage methods
  7. 7. Dropbox horror stories College Professor: “I Lost Tons Of Critical Files Because Of Dropbox” (2013) “Dropbox data breach: 68 million user account details leaked” (2016)
  8. 8. Fire destroys top research centre (University of Southampton)
  9. 9. Finding the data? Vines, T.H. et al. (2014). The availability of research data declines rapidly with article age. Curr. Biol, 24(1), A report in Current Biology looked for the data behind 516 ecology papers published between 1991 and 2011. “"In theory, the data still exist, but the time and effort required by the researcher to get them to you is prohibitive.” (Timothy Vines, University of British Columbia, Vancouver, 2014)
  10. 10. Responsibilities of institutions/researchers R7: Provide facilities for the safe and secure storage and management of research data, records, and primary materials and, where possible and appropriate, allow access and reference to these by interested parties R8: Identify and comply with relevant legislation, regulations and policies related to the conduct of research R20: Retain clear, accurate and complete records of all research including research data and primary materials and, where possible and appropriate, allow access and reference to these by interested parties. Where required, maintain the confidentiality of research data, records and primary materials
  11. 11. UQ identified the need to develop a central infrastructure that would: 1. Satisfy the university’s requirements under the “Code” 2. Encompass data creation and curation, as well as short and long term usage (whole of research lifecycle system) 3. Support existing broad policy statements, such as the “UQ Research Data Management Policy”
  12. 12. UQ Research Data Manager PUBLISH RECORD Metadata registry F.A.I.R. data1 Archival workflows Auto storage allocation IMPACT ACCESS   1.
  13. 13. RECORD Metadata registry Auto storage allocation ACCESS   1. Researcher completes a Data Management Record (DMR) for their project which includes the minimal project metadata (e.g. project name, collaborators). 2. Working data storage is auto- allocated and made available to edit by any authorized collaborator. Accessible via a computer desktop and/or via the cloud.
  14. 14. PUBLISH F.A.I.R. data Archival workflows IMPACT   3. Unmanaged data can be migrated to managed datasets, which can then be linked to publications via the institutional repository (UQ eSpace). 4. The system will be supported by appropriate policies and procedures (in accordance with the FAIR data principles – Findable, Accessible, Interoperable, Reusable).
  15. 15. Purposeful roll-out of RDM system • To fully realise the potential of RDM system, will establish a UQ Research Data Management Service over next 12 months • Aim is to roll-out the “Record” and “Access” components of system (working data storage) to high risk schools/institutes first • Major emphasis on training and education
  16. 16. Research Data Champions • To ease adoption and promote best- practice RDM have identified number of “Champions” • Includes researchers who have been actively involved in system pilot • Will assist with outreach to own groups/schools
  17. 17. RDM features to launch • User documentation– explaining main workflows (e.g. how to request storage) • User training – including liaison librarians (prior to launch) • Project metadata harvesting • Automated storage allocation – brokered by ITS in production system • Access to project storage via “UQ mapped drive” for UQ users at all UQ sites • Access to Cloud based interface and sync client (where appropriate) • Persistent ID's for research projects (RAiD) and persistent ID's of users (ORCiD) will be harvested where possible
  18. 18. Best-practice RDM standards • Promote awareness through policy and supporting procedures • Research data stored securely during research project and archived for minimum required retention periods • Data curation throughout whole lifecycle • Published outputs will specify how to access any relevant supporting research data • Metadata describing archived data will be published in institutional repository (UQ eSpace) • Data custodian “chain of command” • Restricted data – published metadata will provide justification etc.
  19. 19. Benefits of a comprehensive RDM service For research data:  Remains accurate, authentic, reliable, and complete  Retains integrity and research results may be replicated  Security is enhanced, minimising risk of data loss  Reuse is enabled by collecting critical metadata early  Available in accordance with FAIR data principles Other benefits:  Funding, journal, regulatory body requirements are met  Research administration effort is kept to a minimum
  20. 20. Rebecca Deuble – Project Officer (RDM) Email: Thank you for listening