Research Data Access and Preservation Summit, 2016 Atlanta, GA May 4-7, 2016 Presenters: Abigail Goben, University of Illinois Chicago Tina Griffin, University of Illinois Chicago Sara Scheib, University of Iowa Scott Martin, University of Michigan Panel Leads: Megan Sapp Nelson, Purdue University Marina Zhang, University of Iowa

1. PANEL 1: ENGAGING
LIAISONS
RDAP 2016: MODERATORS MARINA ZHANG; MEGAN SAPP NELSON

2. PRESENTERS
• Tina Griffin – Liaison to College of Pharmacy. University of Illinois
Chicago
• Sara Scheib - Liaison to Actuarial Science, Biological Sciences,
Chemistry, Environmental Studies, Geoscience, Mathematics, and
Physics and Astronomy. University of Iowa
• Abigail Goben – Liaison to College of Dentistry. University of Illinois
Chicago
• Scott Martin - Liaison to Biology and serves as Librarian for the
Museum of Natural History, the Museum of Paleontology, the Museum
of Zoology, the University Herbarium, and the Biological Station.
University of Michigan.
CC-BY Abigail Goben RDAP 2016

3. Liaison Operator’s Manual
The Educator Perspective

4. The Trifecta
Liaisonship
Instruction
Collection
Dev.
Reference
Admin/ operations
Service
Research
Plus…
Data
Management

5. Why are we educators?
Because showing “them” isn’t
enough
They don’t get “it” anywhere
else

6. Liaison Practice Environments
 Course
integrated
instruction
 Literature
searching skills
 Information
literacy
 Point of care
decision support
 Evidence based
practice
 Team based
collaboration
 Systematic review
support
 Specialized
knowledge base
 Grant support
 In depth research
assistance
 Bridge to other
campus/library
support
 Access to
resources
 Information
literacy

7. Challenges
 Generate our own clientele
 Demonstrate value to our colleges and the university as a whole
 Specifically contribution to student success
 Balance knowledge specialization with general skills
 Work is highly dependent on relationship building both internally and
externally

8. Engaging Liaisons:
Information or Communication?
Research Data Access and Preservation Summit
May 4, 2016
Atlanta, GA
Sara Scheib
Sciences Reference & Instruction Librarian
University of Iowa Libraries

9. About Iowa
• 32,150 total enrollment
• 1,585 tenured and tenure-track
faculty
• 200+ majors, minors, and
certificate programs
• $565 million in external funding
(FY 2015)
• 2,240 grants and contracts
awarded
• 27% of undergraduates are
involved in research
Source: http://www.uiowa.edu/homepage/about-university
Image courtesy of Iowa Digital Library:
http://digital.lib.uiowa.edu/cdm/ref/collection/ucmp/id/1399

10. Research Data Services – A collaborative effort
Key stakeholders:
• University Libraries
• Liaison librarians
• Digital Scholarship & Publishing Studio
• Cataloging & Metadata
• Information Technology Services
• Research Services
• Office of the Vice President for Research and
Economic Development
• Division of Sponsored Programs
• Informatics Initiative – cluster hire
Image courtesy of Iowa Digital Library:
http://digital.lib.uiowa.edu/cdm/ref/collection/ucmp
/id/298

11. Research Data Services – what we do
• Referral services for all aspects of data
management
• Storage
• Security
• Analysis
• Consulting services
• Finding and accessing existing data sets
• Organizing and documenting research
data
• Writing data management plans
• Publishing and preserving research data
• Workshops and in-class instruction
• Speakers and events
Image source:
https://www.flickr.com/photos/apes_abroad/4145100984

12. Reaching Liaisons and Recruiting Allies
“We have two ears and one mouth so
that we can listen twice as much as we
speak.” - Epictetus
• Research Data Interest Group
• LibGuide (of course!)
• Collaborative consulting
• Workshops for librarians and other
service providers
• Guest speakers and public events

13. Research Data Interest Group
• Established in 2015
• Informal group
• No formal mission or charge
• Everyone is welcome
• Active members from all
stakeholder units
• Meets monthly to plan activities,
discuss questions, provide updates
• Sharepoint – discussion board and
document sharing
Image source: https://www.flickr.com/photos/governmentofalberta/23577007471

14. Research Data Services LibGuide
• http://guides.lib.uiowa.edu/data
• Point-of-need information for
researchers, librarians, and other
campus service providers
• Easy to update, many options for
content types.
• Learning materials archive
• slides
• event recordings
• tutorials

15. Collaborative Consulting
• Consulting requests come to
central email address (lib-
data@uiowa.edu)
• Contact subject specialist first,
offer assistance
• Include subject specialists in
consulting appointments
• Goals: Increase awareness of data
management needs; Learn by
doing.
• No need for turf wars!

16. Workshops
• Offered in Summer 2015, 4
sessions in multiple locations
• Targeted librarians and campus
service providers from ITS, DSP,
and other units
• Goals: Increase awareness of
available resources and develop
consistent message for
researchers

17. Speakers and Events
• Acquired funding from Libraries to
bring in expert speakers
• Speaker 1: Dr. Heidi Imker, Director
of Research Data Service at U.
Illinois – Urbana Champaign
• Speaker 2: Dr. Jeff de La
Beaujardiere, Data Management
Architect at NOAA
• Goals: Learn how the experts are
dealing with data management
issues, start a campus-wide
conversation, recruit allies

18. Thank you!
• Sara Scheib (sara-scheib@uiowa.edu)
• Research Data Services (http://guides.lib.uiowa.edu/data)

19. EDUCATING LIAISONS IN
RESEARCH DATA
MANAGEMENT
ABIGAIL GOBEN, MLS @HEDGIELIB UNIVERSITY OF ILLINOIS AT CHICAGO

20. LIAISONS WON’T LEARN RDM (SO WE HEAR)
CC-BY Abigail Goben RDAP 2016

21. FLING
RESOURCES AT
THEM, RIGHT?
CC-BY Abigail Goben RDAP 2016

22. CC-BY Abigail Goben RDAP 2016
Photo by Abigail Goben

23. BACKGROUND INFORMATION
CC-BY Abigail Goben RDAP 2016
Photo By: Darren Harmon CC-BY-NC-SA
Photo By: Jurgen Appelo CC-BY
Photo By: Kim Keegan CC-BY-NC-SA

24. YOU, IN CONTEXT
“I don’t
• [meet with
undergraduates
• sit on a public
service desk,
• work a weekend
rotation,
• teach intro to
libraries
• do those “library
things” ],
I’m the DATA librarian”
• Where did your position come from?
• How engaged are you in “regular” library work?
• How specialized is everyone at YPOW?
• How have your responsibilities been presented to
your coworkers?
• Have your peers gotten to stop doing anything to
meet the new data management requirements?
CC-BY Abigail Goben RDAP 2016

25. COMMON TRAPS
Overwhelming everyone
Asking vs. Giving
Everyone must be equally proficient
CC-BY Abigail Goben RDAP 2016

26. Liaison Librarian Competencies
• Liaison Librarians (won’t be directly involved with supporting Data Management but will be
working with faculty who may need assistance; Liaison Librarians will be expected to provide
basic assistance and to refer to other expert librarians more involved in data management or
other services as appropriate)
• Librarians can assist patrons in locating existing data repositories and data sets
• Includes:
• knowing that lists of data repositories exist and how to use at least one of
them (e.g., http://www.re3data.org/)
• awareness of library-created resources, like libguides, related to datasets and
repositories
• Be able to make an appropriate referral advanced / future skill: familiarity of
the details of the scope, nature and procedures of selected repositories in
liaison’s subject area
• Excludes:
• making specific recommendations about data repositories
• Librarians can assist researchers in identifying storage options for data --either subject
repositories or a campus repository; appropriately know when to refer to INDIGO/local
repository vs other repositories
• Includes:
• awareness of any local repositories that accept data and some sense of their
collection policies
• be able to make an appropriate referral
• Excludes:
• making specific technical recommendations
• Librarians can identify metadata resources/lists for data sets
• Includes:
• knowing resources describing metadata standards for various subject areas
(we need to ID such resources, include in libguides)
• be able to make an appropriate referral
• Excludes:
• knowing how to encode information in any specific metadata standard
• Librarians are aware of special requirements for data in specific domains / disciplines (e.g.
Medical--HIPAA; personally identifiable data in social science research, etc.)
• Includes:
• general awareness of social science and IRB standards for anonymizing data
and protection of research subjects
• general awareness of restrictions around HIPAA-protected and protected
health information (PHI)
• be able to make an appropriate referral
• Excludes:
• providing detailed advice on specific research protocols
• Librarians can assist researchers in identifying federal, grant, or journal mandates for data
access and restrictions
• Includes:
• referring patrons to appropriate funder guidelines (NIH, NSF, NEH, others)
available via library resources (e.g., libguides)
• referring patrons to the DMPTool
• be able to make an appropriate referral
• Excludes
• providing interpretations of funder mandates
• writing or consulting on data management plans for a researcher
• Librarians are knowledgeable of the data lifecycle process for research and can provide
direction for each stage to research faculty
• Includes:
• ability to recognize and associate a patron request with a general model of the
data lifecycle
• ability to associate stages of the data lifecycle with a general model of the
research lifecycle
• be able to make an appropriate referral
• advanced / future skill: familiarity with specific trends and issues in data
management in the liaison’s subject area
• Librarians are aware of services provided by and the experts within the library
• Includes:
• awareness of the scope library services related to
• the DMPTool and data management planning
• library-based workshops
• metadata consulting
• data curation
• data repositories and research / repository matching
• help locating existing data
• knowing who the library experts are in the above service areas
• be able to make an appropriate referral
• Excludes:
• being able to provide deep expertise in any of the above areas
• Librarians can refer patrons to the DMPTool
• Includes:
• ability to describe the tool and its value
• ability to provide the URL
• explain that you can log in using UIC netid / common password (via
Shibboleth)
• be able to make an appropriate referral
• Excludes:
• being able to demonstrate the tool in detail
• Librarians can identify services not provided by the library (i.e. high performance computing,
data analysis, survey tools)
• Includes:
• be able to use a library-based resource (e.g. libguides) that directs patrons to
campus services outside the library
• be able to refer any questions you’re unsure about to lib-escholarship / be
able to make an appropriate referral
• Excludes:
• deep awareness of any of the specific services provided around campus
• Librarians can explain how to cite data in articles
• Includes:
• be able to identify the basic components that should be required when citing
data (author, title, version, date, publisher, resource type, location)
• understand the purpose of DOIs or other persistent identifiers
• Librarians can communicate/advocate/ market the library’s role in data management to users
CC-BY Abigail Goben RDAP 2016

27. STARTING AT THE BOTTOM
CC-BY Abigail Goben RDAP 2016
VS.

28. 80/20
CC-BY Abigail Goben RDAP 2016
Photo by Rochelle Hartman, CC-BY Photo by Andy Maguire, CC-BY

29. TAILOR AND PARTNER
CC-BY Abigail Goben RDAP 2016

30. IF NOT TODAY, MAYBE TOMORROW
CC-BY Abigail Goben RDAP 2016

31. TEACH TODAY’S TEN THOUSAND
Munroe, R. “Ten Thousand.” XKCD. HTTP://XKCD.COM/1053/ CC-BY-NC
CC-BY Abigail Goben RDAP 2016

32. Diving Into Data:
Data Education for
U-M Librarians
Scott Martin
University of Michigan
RDAP 2016

33. Scope of the challenge
• U-M in 2015:
– 43651 students (65% undergrads)
– 7056 faculty
• MLibrary in 2015
– ~500 staff
– 61 subject liaisons
Source: http://obp.umich.edu/michigan-almanac

34. Data Education Working Group
• “The Data Education Working Group is charged to plan, deliver,
and assess professional development training related to
research data management and services for Library staff.”
• Includes members from Science, Engineering, Health Science,
Arts & Humanities teams within Research unit, as well as the
RDS manager and a representative from the Learning and
Teaching unit

35. A three-pronged approach
• Data Concepts for Librarians
• Deep Dive into Data
• Advanced Data Training

36. Data Concepts for Librarians
• Two 2-hr workshops to cover basic concepts in data
management
– File naming
– File types and data structures
– Storage and backup
– Security
– Data sharing
– Data management plans

37. Deep Dive methodology
• A self-directed method for subject liaisons to begin exploring
the data landscape of a particular discipline
– Stakeholder requirements
– Repositories
– Metadata standards
– Subject-specific data literature
– Disciplinary culture
• Taught via sample disciplines: attendees work through the
methodology for a given subject

38. Advanced Data Training
• Stand-alone workshops to address specific topics in research
data
– Surveys of disciplinary groupings
– Introductions to specialized services
– Approaches and best practices
• Organized by Data Education WG members, but designed and
taught by other Library staff

39. Sample Advanced Data workshops
• Arts and Humanities Data
• Metadata for Research Data
• Qualitative Data in the Social Sciences
• Text Mining
• Data Management Plan Consultation
• International Data
• Faculty Data Interviews

40. Assessing our performance
• Feedback surveys after individual workshops
• Master log of attendees
– As of 4/15/16: About 200 staff have attended 36 sessions, averaging
about 3 sessions per participant (637 participations total)
• Occasional group surveys

41. What’s ahead
• Upcoming report from Data Information Literacy Task Force
• Building up to a formal campus-wide launch of Research Data
Services in September
• Conversations with our Design Lab librarian about educational
and engagement opportunities beyond the one-shot workshop
• Leveraging campus involvement in Software/Data Carpentry
education

42. To read more
• Martin and Oehrli, “Diving into Data: Developing Data Fluency
for Librarians”
In: Ragains and Wood (eds.), The New Information Literacy
Instruction (Rowman & Littlefield, 2015)
• Preprint available in Deep Blue:
http://hdl.handle.net/2027.42/117590

43. Relationship Building
https://goo.gl/ewIArW

44. Attitude
Do You
Believe?
 Partners?
 Capable and smart?
 Have value?
 Have potential?
 Plenty of work for everyone?
 Willing to learn from them (as much as you
want them to learn from you)?

45. Communication
Reach out?
 Talking to them about their work
 Celebrate their non-DM successes
 Listening to their concerns and
recalibrating
 Allowing dissent and disagreement to your
ideas
 Consistent communication

46. Actions
Enable their
Success?
 Working within their context?
 Accept their boundaries?
 Promoting them and referring to them?
 Connecting them to opportunities?
 Providing options for growth?
 Helping them and allowing learning
through mistakes?

47. Recommended reading
Multipliers
by Liz Wiseman
Winning with People
by John Maxwell