The Data Management Ecosystem

The Data Management Ecosystem

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  The Data Management Ecosystem 4 April 2013 University of California Curation Center California Digital Library
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  The research dataproblem • 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.
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  An ecosystem ofinter-dependent partners Besides data repository and publisher partners... • researchers • educators • citizen science groups • funders • tenure and promotion committees Libraries as neutral connection partners
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  Where can librariesmake a difference? Research & Scholarship Lifecycle Research Save Collect Create Knowledge Share Publish
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  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
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  Collect >Publish >Share > Save > Research Create and manage persistent identifiers: ARKs, DOIs, etc. An infrastructure to publish and get credit for sharing research data
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  Collect > Publish>Share > Save > Research Curation repository: store, manage, preserve, and share research data Open deposit, open access repository for spreadsheet data Data Observation Network for Earth
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  Collect > Publish> Share > Save >Research What’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.
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  Stable storage: Merrittrepository • 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
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  EZID: Long termidentifiers 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
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  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
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  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-wide managing their data services • ensure data availability (preservation) • provide replication services
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  The rest ofthe story www.cdlib.org/uc3 [email protected] [email protected] for service questions