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IASSIST40: Data management & curation workshop

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Invited workshop presentation at IASSIST 40 in Toronto, 3 June 2014

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IASSIST40: Data management & curation workshop

  1. 1. IASSIST40 W1: Data management & curation workshop Toronto, 3 June, 2014 Robin Rice EDINA and Data Library University of Edinburgh
  2. 2. Edinburgh DataShare • An institutional OA data repository based in DSpace • Multidisciplinary, multiple data types • Supports University Research Data Mgmt Policy • For UoE researchers & their collaborators only • For research projects without a domain repository • Has been full service since 2010 but recent University funding for development is allowing enhancements • Promoted as part of RDM programme, one of many ‘tools for the job’
  3. 3. Scope • No limits in terms of subject matter or data types • From mathematical proofs to audio files of Shilluuk tribal narratives • Meeting new users across university • 21 ‘schools’ make up our top level ‘communities’ – several still empty • Open data a tough sell for (some) academics • Interviews with Creative Arts researchers, not comfortable with term ‘data’ in their context • Social Sciences covered well by UK Data Archive
  4. 4. Policies • No mandate for deposit; can only promote benefits • No deposit of sensitive data, please • No user registration or enforcement of T&Cs; open data or embargo or ‘request copy’ from depositor • Self-deposit model: so KISS, in terms of workflow o Guidance, such as checklist for deposit, user guide with screenshots o Meetings to discuss data welcome; assisted deposit where warranted • Basic quality assurance checks by staff (documentation exists, file formats, file integrity) • Open Data Commons Attribution licence by default; open metadata • Preservation policy; depositor agreement; service level definition
  5. 5. Discoverability • Keep DSpace up to date; search engine hits good • Focus on discoverability metadata (DCMI); ‘type’ • System-generated ‘suggested citation’ based on required fields on landing page • Handle on landing page. DOIs coming soon • Harvested by Data Citation Index • Metadata links to data sources, articles, other versions
  6. 6. Platform • DSpace originally, in 2013 RDM Steering Group suggested pilot depositors to test fitness for purpose • Advantages of continuity but we have also looked at: Fedora, Dataverse, CKAN, Invenio • Still mainly upload/download model, no visualisation, modeling, online analysis • SWORD and batch ingest recently enabled for large and/or voluminous datasets (upload) • Becoming part of a local system including CRIS, Data Asset Register, Vault, Active Data Store
  7. 7. Metadata standards • Based on DCMI and a few necessary system- related fields • Needs to be lightweight & multidisciplinary • Conforms to DataCite minimum fields (DOIs soon) • Discovery metadata only; documentation files required to allow re-use (part of manual QA check) • File formats are supported, known, or unknown, with guidance given to depositors.
  8. 8. Thank you Binary-by-Xerones-CC-BY-NC

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