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Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations

Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations. Stuart Macdonald EDINA National Data Centre & Edinburgh University Data Library Fedora-UK&I&EU Meeting, Oxford, 8 December. Flickr CC Image – http://www.flickr.com/photos/laszlo-photo/1899390628/.

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Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations

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  1. Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations Stuart Macdonald EDINA National Data Centre & Edinburgh University Data Library Fedora-UK&I&EU Meeting, Oxford, 8 December Flickr CC Image – http://www.flickr.com/photos/laszlo-photo/1899390628/

  2. EDINA and Data Library (EDL) together are a division within Information Services 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. • Building relationships with researchers via postgraduate teaching activities, IS Skills workshops, Research Data Management training and through traditional reference interviews. • Edinburgh Datashare is a digital repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library Flickr CC Image - http://www.flickr.com/photos/artimagesmarkcummins/300173269/

  3. DISC-UK DataShare Project DISC-UK DataShare Project – funded by JISC (March 2007 – March 2009) - a collaborative project which investigated the legal, cultural and technical issues surrounding research data sharing within UK tertiary education community • Explore new pathways to assist academics wishing to share their data over the Internet via Institutional Repositories (IRs) • Policy-Making for Research Data in Repositories: A Guide - Green, A., Macdonald, S. and R. Rice, (2009). • Edinburgh DataShare digital repository – post project output – embedded into University Information Services policy Flickr CC Image - http://www.flickr.com/photos/ronin691/2285257955/

  4. Edinburgh Repository Landscape Launch Jan. 2010 ‘Namedentity’ recognition’ EDINA repository projects Repository Junction

  5. Edinburgh Datashare – technical development • DSpace v.1.51 with new theme aligned with University corporate style • Embargo option - coded to restrict full data download with open metadata until specified date • Open Data Commons License option (PDDL) • Dynamically queries Geonames, a community generated • spatial database to ensure consistency in metadata entry for • Spatial Coverage field • Extension to DSpace to record bitstream downloads in usage • statistics • Implementation of JACS for assigning keyword to content • Download All option (zip file of all item components) • Citation field automatically generated based on specified metadata values • Dublin Core-based metadata schema for datasets Flickr CC Image – http://www.flickr.com/photos/59414209@N00/3367225630/

  6. Potential Next Steps: • Semantification of content – OpenLinkedData & MIT’s SIMILIE project (which aims to leverage and extend DSpace by supporting semantic web techniques) • Visualisation tools – APIs that can be utilised within repository environment (Timeplot, Timeline) unlike existing open utilities • Spatial analysis using open geo-browsers and mapping utilities • Annotation, tagging, data citation • Implementation of Deposit tool(s) – SWORD • Streaming & viewing heterogeneous content Flickr CC Image - http://www.flickr.com/photos/silvertje/3512611046/

  7. Research Data Management Training Developed on the back of the Data Audit Framework lead by HATII (Edinburgh being one of the pilot implementation projects) – developing online tools and methodologies which enable information specialists to engage and build relationships with researchers in order to ascertain the data holdings in a research school / department / group Developing online and F-2F modules in conjunction with the Postgraduate Transferable Skills Unit - http://www.transkills.ed.ac.uk/ and PG Essentials - http://www.transkills.ed.ac.uk/pgessentials.htm Research data management guidance & Data sharing and preservation – http://www.ed.ac.uk/is/data-management Flickr CC Image – http://www.flickr.com/photos/sgrantarch/3563676104/ Engaging researchers through RDM exercises, teaching, reference interviews & funded-projects are crucial to the bottom-up development of tools, services and infrastructures meant to serve them and which ultimately improve both the efficiency and effectiveness of their research.

  8. Engaging with the Research Community (1) • Human Geography (Professor Jane Jacobs) • High Rise project - an interdisciplinary research programme involving architects and geographers – • “It investigates two cases that encapsulate the varied fortunes • of the highrise experience: the UK, where the form is routinely • condemned, even demolished; and Singapore, where it is • embraced enthusiastically and continues to be built at greater • heights and densities - http://www.ace.ed.ac.uk/highrise/” • Content of the High Rise Digital Archive includes images, sound recordings, video, transcripts, architectural drawings • Customise DataShare to allow streaming or embedded player • functionality, ingest heterogeneous content, employ multi-media • metadata standards • Develop customised learning and teaching materials for deposit in JORUM Open Image courtesy of the periodic table printmaking project – http://azuregrackle.com/periodictable/table/58.html

  9. Engaging with the research community (2) • Centre for Earth System Dynamics(Dr Mike Mineter, Dr Magnus • Hagdorn) • The aim of the CESD is to develop climate models across SAGES • and other multi-disciplinary and international partners to quantify and predict climate and environmental change • Use DataShare to provide federated access via shibboleth for international partners for ‘working’ datasets (e.g. from the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) programme) • Store data via DataShare but also link to large datasets (c.1TB) stored on remote storage (Andrew File Systems, ECDF SAN) • Content for ingestion includes large climate models/simulations, fieldwork and experimental output in proprietary formats • Employ discipline-specific metadata standards to describe content

  10. END Thank You stuart.macdonald@ed.ac.uk Creative Commons images from Flickr (unless otherwise stated) Flickr CC Image – http://www.flickr.com/photos/hippie/2556161507/

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