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DSpace for Data Revisited

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EDINA, University of Edinburgh
EDINA, University of Edinburgh

Robin Rice and Stuart Macdonald review the upgrade to DSpace 4.1 for the DataShare repository at the University of Edinburgh.

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9th Open Repositories Conference, Helsinki, 13 June 2014 DSpace for Data Revisited Stuart Macdonald Robin Rice EDINA & Data Library University of Edinburgh
• EDINA and Data Library (EDL) together are a division within Information Services (IS) of the University of Edinburgh. • EDINA is a jisc-funded National Data Centre providing national online resources for education and research. • The Data Library service (established in 1983) assists Edinburgh University users in the discovery, access, use and management of research data assets. Context
• DISC-UK DataShare Project – funded by JISC (Mar. 07 – Mar. 09) - a collaborative project exploring new pathways to assist researchers wishing to share data via institutional repositories • Edinburgh Datashare is an online institutional repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library • Researchers producing research data associated with a publication, or which has potential use for other researchers, can upload their dataset for sharing and safekeeping. Background
Available for University of Edinburgh researchers & their collaborators primarily for research projects without a domain repository No limits in terms of subject matter or data types An IS service since 2010 - RDM Programme funding for development is allowing enhancements DataShare Supports University of Edinburgh RDM Policy (clause 5) Promoted as part of RDM programme, one of a range of RDM Services being developed for University of Edinburgh researchers Scope
Metadata and Discoverability DataShare is a customised DSpace instance with a selection of DCMI metadata fields for discovery of datasets through Google and other search engines via OAI-PMH. Records are harvested by Data Citation Index Citation field automatically generated based on specified metadata values Persistent identifier (Handle) on dataset landing page Conforms to DataCite minimum fields (DOIs soon) Discovery metadata only; documentation files required to allow re-use (part of manual QA check)
Policies • No mandate for deposit • Open data or embargo • Self-deposit model: KISS workflow – Guidance, such as checklist for deposit, user guide with screenshots – 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
DSpace for Data Revisited
Edinburgh Datashare: Enhancements Case-studies based on 3 piloted research groups (Roslin Institute, Clinical Psychology, School of Philosophy, Psychology and Language Sciences) were used to capture user requirements •Sept. 2013 - Streamlined usability and deposit workflow e.g. collapsible non-required metadata fields, clear and simple licence information, streamlining initial self-deposit questions •Nov. 2013 - Load balancing between 2 remote sites (with automatic failover) •Dspace upgrade to v. 3.2 •Developmental server established behind University authentication – for depositors to test repository functionality
• Feb. 2014 – SWORD (Push) – utilising SWORD API for batch deposit of large and/or many files from remote computers • June 2014 – Internal batch ingest of many/large files (Pull) – currently 2.1GB limit via the web interface – Use of checksums to determine that delivered object mirrors deposited object • July 2014 – Upgrade to DSpace 4.1 • Request Copy Button – for user to request hidden item direct from depositor. – Data Vault planned for this. Eventual plan that this becomes functionality within the DAR.
September 2014 - End-user interface improvements • Streaming multi-media files (files too big to play in browsers) – dependent upon browser choice, plug-ins loaded, network speed • Display multimedia gallery for images - Datashare want’s to learn from the Dspace community about how to handle this material • Faceted browsing – by community and collection • Usability and user testing.
Future • Pursuing Data Seal of Approval as part of RDM Roadmap • Joining DataCite via British Library: will offer DOIs shortly • Research data deposit from RSpace electronic notebook interface into DataShare • Working with F1000Research to define a workflow to alert depositors to opportunities to get credit for data as research output o Published new list of data journals for our depositors
University of Edinburgh RDM Programme • University of Edinburgh is one of the first Universities in UK who adopted an RDM Policy : http://www.ed.ac.uk/is/research-data-policy • The policy was approved by the University Court on 16 May 2011. • It’s acknowledged that this is an aspirational policy and that implementation will take some years • DataShare Supports University of Edinburgh RDM Policy (clause 5) • Promoted as part of RDM programme, one of a range of RDM Services being developed for University of Edinburgh researchers
RDM Roadmap http://edin.ac/1u3sKqy •Services already in place: • Data management planning • Active working file space = DataStore • Data publication repository = DataShare •Services in development: • Long term data archive = DataVault • Data Asset Register (DAR) •RDM support: Awareness raising, training & consultancy
DataShare & related Univ. of Edinburgh RDM services
stuart.macdonald@ed.ac.uk Thanks !Links: • Data Library services: http://www.ed.ac.uk/is/data-library • EDINA: http://edina.ac.uk/ • Edinburgh DataShare: http://datashare.is.ed.ac.uk/ • Edinburgh University data policy: http://www.ed.ac.uk/is/research-data-policy • Research Data MANTRA: http://datalib.edina.ac.uk/mantra

More Related Content

DSpace for Data Revisited

  • 1. 9th Open Repositories Conference, Helsinki, 13 June 2014 DSpace for Data Revisited Stuart Macdonald Robin Rice EDINA & Data Library University of Edinburgh
  • 2. • EDINA and Data Library (EDL) together are a division within Information Services (IS) of the University of Edinburgh. • EDINA is a jisc-funded National Data Centre providing national online resources for education and research. • The Data Library service (established in 1983) assists Edinburgh University users in the discovery, access, use and management of research data assets. Context
  • 3. • DISC-UK DataShare Project – funded by JISC (Mar. 07 – Mar. 09) - a collaborative project exploring new pathways to assist researchers wishing to share data via institutional repositories • Edinburgh Datashare is an online institutional repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library • Researchers producing research data associated with a publication, or which has potential use for other researchers, can upload their dataset for sharing and safekeeping. Background
  • 4. Available for University of Edinburgh researchers & their collaborators primarily for research projects without a domain repository No limits in terms of subject matter or data types An IS service since 2010 - RDM Programme funding for development is allowing enhancements DataShare Supports University of Edinburgh RDM Policy (clause 5) Promoted as part of RDM programme, one of a range of RDM Services being developed for University of Edinburgh researchers Scope
  • 5. Metadata and Discoverability DataShare is a customised DSpace instance with a selection of DCMI metadata fields for discovery of datasets through Google and other search engines via OAI-PMH. Records are harvested by Data Citation Index Citation field automatically generated based on specified metadata values Persistent identifier (Handle) on dataset landing page Conforms to DataCite minimum fields (DOIs soon) Discovery metadata only; documentation files required to allow re-use (part of manual QA check)
  • 6. Policies • No mandate for deposit • Open data or embargo • Self-deposit model: KISS workflow – Guidance, such as checklist for deposit, user guide with screenshots – 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
  • 8. Edinburgh Datashare: Enhancements Case-studies based on 3 piloted research groups (Roslin Institute, Clinical Psychology, School of Philosophy, Psychology and Language Sciences) were used to capture user requirements •Sept. 2013 - Streamlined usability and deposit workflow e.g. collapsible non-required metadata fields, clear and simple licence information, streamlining initial self-deposit questions •Nov. 2013 - Load balancing between 2 remote sites (with automatic failover) •Dspace upgrade to v. 3.2 •Developmental server established behind University authentication – for depositors to test repository functionality
  • 9. • Feb. 2014 – SWORD (Push) – utilising SWORD API for batch deposit of large and/or many files from remote computers • June 2014 – Internal batch ingest of many/large files (Pull) – currently 2.1GB limit via the web interface – Use of checksums to determine that delivered object mirrors deposited object • July 2014 – Upgrade to DSpace 4.1 • Request Copy Button – for user to request hidden item direct from depositor. – Data Vault planned for this. Eventual plan that this becomes functionality within the DAR.
  • 10. September 2014 - End-user interface improvements • Streaming multi-media files (files too big to play in browsers) – dependent upon browser choice, plug-ins loaded, network speed • Display multimedia gallery for images - Datashare want’s to learn from the Dspace community about how to handle this material • Faceted browsing – by community and collection • Usability and user testing.
  • 11. Future • Pursuing Data Seal of Approval as part of RDM Roadmap • Joining DataCite via British Library: will offer DOIs shortly • Research data deposit from RSpace electronic notebook interface into DataShare • Working with F1000Research to define a workflow to alert depositors to opportunities to get credit for data as research output o Published new list of data journals for our depositors
  • 12. University of Edinburgh RDM Programme • University of Edinburgh is one of the first Universities in UK who adopted an RDM Policy : http://www.ed.ac.uk/is/research-data-policy • The policy was approved by the University Court on 16 May 2011. • It’s acknowledged that this is an aspirational policy and that implementation will take some years • DataShare Supports University of Edinburgh RDM Policy (clause 5) • Promoted as part of RDM programme, one of a range of RDM Services being developed for University of Edinburgh researchers
  • 13. RDM Roadmap http://edin.ac/1u3sKqy •Services already in place: • Data management planning • Active working file space = DataStore • Data publication repository = DataShare •Services in development: • Long term data archive = DataVault • Data Asset Register (DAR) •RDM support: Awareness raising, training & consultancy
  • 14. DataShare & related Univ. of Edinburgh RDM services
  • 15. stuart.macdonald@ed.ac.uk Thanks !Links: • Data Library services: http://www.ed.ac.uk/is/data-library • EDINA: http://edina.ac.uk/ • Edinburgh DataShare: http://datashare.is.ed.ac.uk/ • Edinburgh University data policy: http://www.ed.ac.uk/is/research-data-policy • Research Data MANTRA: http://datalib.edina.ac.uk/mantra

Editor's Notes

  1. First of its kind in the UK – primarily within the social sciences but not exclusively so 2 data library services – this morning I’ll concentrate on Edinburgh Datashare Advise on storing, versioning, documenting, formatting and anonymising researchers’ data for sharing or preserving for future use in an archive or repository
  2. By-pass 1.5.2 bug fix – upgrade to 1.6 next year Registration streamlined using the University’s single sign-on Date range enabled to allow Time Period (dc:coverage) Anti-virus checking upon upload Joint Academic Classification of Subjects �� HESA / UCAS classify academic subjects based on undergraduate degrees