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DMPTool Webinar 5: Promoting institutional services with the DMPTool; EZID as example

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9 July 2013; Presented by Joan Starr and Carly Strasser. Description: EZID makes it simple for researchers and others to obtain and manage long-term identifiers (DOIs and ARKs) for their digital content. EZID is a great tool for data management, and researchers can build EZID and identifiers into their data management plans. In this free summer webinar, we cover: The advantages of EZID and identifiers for data management; How to configure the DMPTool to point to your library's EZID services; How to use the DMPTool as a ready source of contact information for your outreach

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DMPTool Webinar 5: Promoting institutional services with the DMPTool; EZID as example

  1. 1. Logistics for Webinar You Must For Audio: 866-740-1260 Access code 9870179# Participants muted Ask questions in chat any time 20 minutes for Q&A Recording, slides, & schedule of webinars: blogs.dmptool.org/webinar-series DMPTool Webinar Series 5: Promoting Institutional services– EZID outreach made simple! Sponsored by IMLS 9 July 2013
  2. 2. Carly Strasser & Joan Starr California Digital Library 9 July 2013 @carlystrasser @joan_starr Promoting your services with the DMPTool: EZID Outreach Made Easy DMPTool Webinar Series 5: Promoting Institutional services– EZID outreach made easy Sponsored by IMLS 9 July 2013
  3. 3. 28 May Introduction to the DMPTool 4 June Learning about data management: Resources, tools, materials 18 June Customizing the DMPTool for your institution 25 June Environmental Scan: Who's important at your campus 9 July Promoting institutional services; EZID Outreach Made Easy 16 July Health Sciences & DMPTool - Lisa Federer, UCLA 23 July Digital humanities and the DMPTool - Miriam Posner, UCLA 13 Aug Data curation profiles and the DMPTool – Jake Carlson, Purdue How to give the data management sales pitch to various audiences Other tools and resources that work with/complement the DMPTool Beyond funder requirements: more extensive DMPs Case studies 1 – How librarians have successfully used the tool Case studies 2 – How librarians have successfully used the tool Outreach Kit Introduction Certification program introduction blog.dmptool.org/webinar-series
  4. 4. 1.Introduction to Identifiers 2.Introduction to EZID 3.DMPTool 4.Outreach Roadmap
  5. 5. 1.Introduction to Identifiers 2.Introduction to EZID 3.DMPTool 4.Outreach Roadmap
  6. 6. What is an identifier?
  7. 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. 8. Identifier example string: doi:10.9999/FK40K2GTV html version: http://dx.doi.org/10.9999/FK40K2GTV location: http://www.bologna.edu/biology/xfg/123.xls metadata creator: Dr. Felix Kottor title: Data for chromosomal study of catfish (Ictalurus punctatus) publisher: University of Bologna date: 8/31/2012
  9. 9. Identifier example string: doi:10.9999/FK40K2GTV html version: http://dx.doi.org/10.9999/FK40K2GTV location: http://www.state.edu/ecology/783sdr/123.xls metadata creator: Dr. Felix Kottor title: Data for chromosomal study of catfish (Ictalurus punctatus) publisher: Dryad Data Repository date: 10/01/2013
  10. 10. Why Identifiers are Important
  11. 11. Allow readers to find data products Get credit for data and publications Promote reproducibility Better measure of research impact Example: Sidlauskas, B. 2007. Data from: Testing for unequal rates of morphological diversification in the absence of a detailed phylogeny: a case study from characiform fishes. Dryad Digital Repository. doi:10.5061/dryad.20 Why Identifiers are Important
  12. 12. A&I Indexing and #altmetrics
  13. 13. 1.Introduction to Identifiers 2.Introduction to EZID 3.DMPTool 4.Outreach Roadmap
  14. 14. • DataCite DOIs for data, linking to scholarly research • Credit to data producers and data publishers • Exposure and research metrics for datasets (Web of Knowledge, Google) Primary Functions 1. Create identifiers 2. Manage identifiers (and metadata) over time 3. Resolve identifiers EZID Long term identifiers made easy @ezidCDL http://n2t.net/ezid
  15. 15. DataCite Services 1. DOIs for data! 2. Local service & support 3. Usage stats 4. Citation formatter 5. Content negotiation 6. Metadata search 7. OAI provider 8. DataCite-to-ORCID hookup* 9. Your ideas here…
  16. 16. ARKs DOIs IDF EZID CLIENTS DOIs DOIs EZID and DataCite together
  17. 17. EZID Usage UC Berkeley Library Labarchives Chance Favors the Organized Lab Who else is using EZID?
  18. 18. http://n2t.net/ezid
  19. 19. http://n2t.net/ezid
  20. 20. http://n2t.net/ezid
  21. 21. http://n2t.net/ezid
  22. 22. http://n2t.net/ezid
  23. 23. EZID: DOIs & ARKs DOIs ARKs Strict metadata requirements Flexible metadata guidelines From the scholarly communication community From the archives and museums community Established “brand name” Option-rich, open source Use case: Data Citation Use case: Data Documentation
  24. 24. 1.Introduction to Identifiers 2.Introduction to EZID 3.DMPTool 4.Outreach to campuses Roadmap
  25. 25. DOIs and ARKs in data management plans
  26. 26. DOIs in data management plans What it looks like: Sample plan language: Aguilée R, Lambert A, Claessen D (2011) Data from: Ecological speciation in dynamic landscapes. Journal of Evolutionary Biology doi:10.5061/dryad.74024 Publication of data shall occur during the project, if appropriate, or at the end of the project, consistent with normal scientific practices. [Team] follows a standardized data product citation including DOI, that indicates the version and how to obtain a copy of that product. Why it’s important: OSTP mandate to: identify and provide “appropriate attribution to scientific data sets” Researcher benefits: Credit, increased citations, increased productivity Data Citation
  27. 27. ARKs in data management plans What it looks like: At top-level directory/folder: Project Title Unique Identifier Date (yyyy or yyyy.mm.dd) At sub-directories: optional identifiers at granular levels Sample plan language: [Team] follows the recommended best practice for good data management by assigning unique identifiers (ARKs) to the data as part of the data documentation. Why it’s important: Researcher benefits: Data documentation helps you keep track of (and remember) aspects of your data throughout the research project. Data Documentation
  28. 28. Identifiers for data management Identifiers + data= • Easy to access, • Easy to re-use • Easy to verify
  29. 29. Configuring the DMP Tool
  30. 30. Customization form
  31. 31. 1.Introduction to Identifiers 2.Introduction to EZID 3.DMPTool 4.Outreach Roadmap
  32. 32. Take-aways: Identifiers & EZID • Important • Data citation + data documentation • If your campus is an EZID client: – Add customization to the DMPTool and go! • If you aren’t yet an EZID client: – Try out EZID for free at http://n2t.net/ezid.
  33. 33. Using the DMP Tool for Outreach 1. Promote data management and help with grant applications. 2. Use the DMPTool to – Showcase your services – Find names for outreach
  34. 34. EZID support for Outreach
  35. 35. Coming Soon… Health Sciences & the DMPTool Guest speaker: Lisa Federer, UCLA July 16th, Same time
  36. 36. dmptool.org UC3 Data Management Planning Resources http://www.cdlib.org/services/uc3/dmp/index.html EZID: Twitter: @ezidCDL Email: uc3@ucop.edu JOAN: Twitter: @joan_starr Email: joan.starr@ucop.edu

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