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IASSIST40: Data management & curation workshop
The document summarizes Edinburgh DataShare, an open access data repository at the University of Edinburgh that supports the university's research data management policy. It stores a wide range of research data across disciplines. The repository uses the DSpace platform and is promoting open data, though getting some academics to deposit data can be challenging. It focuses on making metadata and data discoverable through various search tools and indexes. Basic quality assurance checks are performed during the self-deposit process.
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IASSIST40: Data management & curation workshop
- 1. IASSIST40 W1: Data management& curation workshop Toronto, 3 June, 2014 Robin Rice EDINA and Data Library University of Edinburgh
- 2. Edinburgh DataShare • Aninstitutional 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. Scope • No limitsin 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. Policies • No mandatefor 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. Discoverability • Keep DSpaceup 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. 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. Metadata standards • Basedon 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.
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