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

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. 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. 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. 1.Introduction to Identifiers
2.Introduction to EZID
3.DMPTool
4.Outreach
Roadmap

6. 1.Introduction to Identifiers
2.Introduction to EZID
3.DMPTool
4.Outreach
Roadmap

7. What is an identifier?

8. 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/

9. 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

10. 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

11. Why Identifiers are Important

12. 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

13. A&I Indexing and #altmetrics

14. 1.Introduction to Identifiers
2.Introduction to EZID
3.DMPTool
4.Outreach
Roadmap

15. • 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

17. 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…

18. ARKs
DOIs
IDF
EZID CLIENTS
DOIs
DOIs
EZID and DataCite
together

19. EZID Usage
UC Berkeley
Library
Labarchives
Chance Favors the Organized Lab
Who else is using EZID?

20. http://n2t.net/ezid

21. http://n2t.net/ezid

22. http://n2t.net/ezid

23. http://n2t.net/ezid

24. http://n2t.net/ezid

25. 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

26. 1.Introduction to Identifiers
2.Introduction to EZID
3.DMPTool
4.Outreach to campuses
Roadmap

27. DOIs and ARKs in
data management plans

28. 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

29. 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

30. Identifiers for data management
Identifiers + data=
• Easy to access,
• Easy to re-use
• Easy to verify

31. Configuring the DMP Tool

32. Customization form

38. 1.Introduction to Identifiers
2.Introduction to EZID
3.DMPTool
4.Outreach
Roadmap

39. 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.

40. 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

41. EZID support for Outreach

43. Coming Soon…
Health Sciences &
the DMPTool
Guest speaker:
Lisa Federer, UCLA
July 16th,
Same time

44. 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