Dataset Metadata, Tools & Approaches for Access & Preservation

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Dataset Metadata Joan Starr California Digital Library January, 2012 @joan_starr Tools and Approaches for Access and Preservation

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Presentation at ALA Midwinter 2012 Intellectual Access to Preservation Metadata Interest Group, ALCTS

Transcript of Dataset Metadata, Tools & Approaches for Access & Preservation

  • 1. Dataset MetadataTools and Approaches for Access and PreservationJoan Starr California Digital Library January, 2012@joan_starr

2. Dataset MetadataTools & ApproachesIntroductionRequirementsDataCite, EZID & IdentifiersDataCite MetadataNext stepsBy Brain farts (Joschua) http://www.flickr.com/photos/brainfarts/97676505/ 3. Requirements for dataset description Access Preservation By barryegan (Vitor Leite) http://www.flickr.com/photos/vixon/116447718/ 4. How? Key identifying elements Emerging recommendations Variation among the domains 5. How? Key identifying elements Emerging recommendations Variation among the domains In common: Persistent identifier 6. DataCiteGerman National Library of Economics (ZBW) Canada Institute for Scientific and Technical InformationGerman National Library of Science and Technology (TIB)(CISTI)German National Library of Medicine (ZB MED) Technical Information Center of DenmarkGESIS - Leibniz Institute for the Social Sciences, Germany Institute for Scientific & Technical Information (INIST-Australian National Data Service (ANDS)CNRS), FranceETH Zurich, SwitzerlandTU Delft Library, The Netherlands The Swedish National Data Service (SNDS) The British Library , UK California Digital Library (CDL), USA Office of Scientific & Technical Information (OSTI), USA Purdue University Library 7. What is an identifier?What you see: alphanumeric string (never changes)Associated with: location of object (such as a URL)Optional: who, what, when, etc (i.e. metadata)By Joelk75: http://www.flickr.com/photos/75001512@N00/2728233597/ 8. Identifier examplestring: doi:10.9999/FK40K2GTVhtml version: http://dx.doi.org/10.9999/FK40K2GTVlocation: http://www.bologna.edu/biology/xfg/123.xlsmetadatacreator: Dr. Felix Kottortitle: Data for chromosomal study of catfish (Ictaluruspunctatus)publisher: University of Bolognadate: 8/31/2011 9. Identifier examplestring: doi:10.9999/FK40K2GTVhtml version: http://dx.doi.org/10.9999/FK40K2GTVlocation: http://www.state.edu/ecology/783sdr/123.xlsmetadatacreator: Dr. Felix Kottortitle: Data for chromosomal study of catfish (Ictaluruspunctatus)publisher: Dryad Data Repositorydate: 10/01/2011 10. EZID: long-term identifiers made easy take control of themanagement anddistribution of your research, share and get credit for it,and build your reputationthrough its collection anddocumentationPrimary Functions1. Create persistent identifiers2. Manage identifiers over time3. Manage associated metadata over time 11. http://n2t.net/ezid 12. http://n2t.net/ezid 13. http://n2t.net/ezid 14. http://n2t.net/ezid 15. DataCite Metadata V. 2.2 Small required set = citation elements Optional descriptive set: extendable lists can refer to other standards, schemes domain-neutral rich ability to describe relationships to otherdigital objects Metadata Search (MDS) is full-text indexed 16. DataCite Metadata V. 2.2Required properties1. Identifier (with type attribute)2. Creator (with name identifier attributes)3. Title (with optional type attribute)4. Publisher5. PublicationYear 17. DataCite Metadata V. 2.2Optional properties6. Subject (with schema attribute)7. Contributor (with type & name identifier attributes)8. Date (with type attribute)9. Language10. ResourceType (with description attribute)11. AlternateIdentifier (with type attribute)12. RelatedIdentifier (with type &relation type attributes)13. Size14. Format15. Version16. Rights17. Description (with type attribute) 18. DataCite Metadata V. 2.2Optional properties6. Subject (with schema attribute)7. Contributor (with type & name identifier attributes)8. Date (with type attribute)9. Language10. ResourceType (with description attribute)11. AlternateIdentifier (with type attribute)12. RelatedIdentifier (with type &relation type attributes)13. Size14. Format15. Version16. Rights17. Description (with type attribute) 19. Data Management PlanningBy NASA Goddard Photo and Video: http://www.flickr.com/photos/gsfc/3720663276/ 20. A life cycle approach CDL Curation and Publishing Serviceshttp://www.cdlib.org Create, edit, share, and save data management plans Open source add-in for Microsoft Excel as a data collection toolCreate and manage persistent identifiersCuration repository:store, manage, and share research dataOpen access scholarly publishing services:papers, journals, books, seminars & moreAn infrastructure to publish and get credit Data Publication for sharing research data 21. Identifiers and data managementTrack your Organizeresultsyour dataGetmorecitationsMeet funder requirements 22. Next StepsDataCite Dublin Core application profile Content Service Metadata v. 2.3EZIDUI redesignAutomated link checkingExposure for metadataBy Nicola Whitaker http://www.flickr.com/photos/nicolawhitaker/111009156/ 23. Next StepsLibrary service center information center your ideas here By Nicola Whitaker http://www.flickr.com/photos/nicolawhitaker/111009156/ 24. For more informationEZIDEZID application: http://n2t.net/ezid/EZID website:http://www.cdlib.org/services/uc3/ezid/DataCiteDataCite Home: http://datacite.org/DataCite Metadata Schema:http://schema.datacite.org/meta/kernel-2.2/index.htmlDataCite Metadata Search: http://search.datacite.org 25. Questions? by Horia Varlan http://www.flickr.com/photos/horiavarlan/4273168957/in/photostream/Joan Starr: [email protected] @joan_starr