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The Data Management Ecosystem


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The Data Management Ecosystem

  1. 1. The Data Management Ecosystem 4 April 2013University of California Curation Center California Digital Library
  2. 2. The research data problem• Journal article • Research data – Uniquely and persistently – Nope identified – Concept of “publish” – Not really – Multiple copies – Typically one – Easily findable – Difficult – Services: impact – Nope metrics, citation tracking, etc. Research data is seen as a second- class citizen in the scholarly record.
  3. 3. An ecosystem of inter-dependent partners Besides data repository and publisher partners... • researchers • educators • citizen science groups • funders • tenure and promotion committees Libraries as neutral connection partners
  4. 4. Where can libraries make a difference? Research & Scholarship Lifecycle Research Save Collect Create Knowledge Share Publish
  5. 5. Collect > Publish > Share > Save > Research Create, edit, share, and save data management plans Open source curation add-in for Microsoft Excel Capture today’s web; build tomorrow’s archives
  6. 6. Collect >Publish > Share > Save > Research Create and manage persistent identifiers: ARKs, DOIs, etc.An infrastructure to publish and get credit for sharing research data
  7. 7. Collect > Publish >Share > Save > Research Curation repository:store, manage, preserve, and share research data Open deposit, open access repository for spreadsheet dataData Observation Network for Earth
  8. 8. Collect > Publish > Share > Save >ResearchWhat’s missing to complete the “incentive” circuit?• Impact measures, citation tracking “Connecting the data to the research it informs”Altmetrics tools to measure non- traditional products and uses , , etc.
  9. 9. Stable storage: Merritt repository • Curation repository open to the UC community and beyond • Discipline / content agnostic • Micro-services architecture • Easy-to-use UI or API • Hosted or locally deployed
  10. 10. EZID: Long term identifiers made easy• Precise identification of a dataset (DOI or ARK)• Credit to data producers and data publishers• A link from the traditional literature to the data (DataCite)• Exposure and research metrics for datasets (Web of Knowledge, Google) Take control of the management and distribution of your research, share and get credit for it, and build your reputation through its collection and documentation
  11. 11. Discovery: DataCiteconsortium• Technische Informationsbibliothek • Canada Institute for Scientific and (TIB), Germany Technical Information (CISTI) • L’Institut de l’Information Scientifique• Australian National Data Service (ANDS) et Technique (INIST), France• The British Library • Library or the ETH Zürich• California Digital Library, USA • Library of TU Delft, The Netherlands • Office of Scientific and Technical Information, US Department of Energy • Purdue University, USA • Technical Information Center of Denmark
  12. 12. New distributed framework Coordinating Nodes Flexible, scalable, sustainabl Member Nodes• retain complete metadata e network• catalog institutions diverse• subset of all data• serve local community• perform basic indexing• provide resources for• provide network-widemanaging their data services• ensure data availability (preservation)• provide replication services
  13. 13. The rest of the story for service questions