This presentation was provided by Suzie Allard (Univ Tennessee - Knoxville) during a NISO Virtual Conference on Data Curation, held on Wednesday, August 31

1. Intellectual Freedom.
Learning.
Discovery.
Engagement.
Transforming lives and society.
Innovation. Creativity.
Research. Excellence.
KNOWLEDGE
Responsibility.
Entrepreneurship.
Leadership.

2. Research Data and Services in
Academic Libraries
US and Europe
For
NISO Virtual Conference: Data Curation – Cultivating Past
Research Data for Future Consumption
August 2016
Suzie Allard, Ph.D.
Associate Dean for Research, College of Communication and Information

3. Challenge is a dragon with a
gift in its mouth...
Tame the dragon and the gift is yours.
-- Noela Evans, author
Setting the Stage

4. Taking the data public: collaborations among
government agencies, foundations, academic institutions
and other interested parties is vital
Open data infrastructure: need for
ready and persistent access to
useable and coherent data
Roles and responsibilities (r&r):
community understanding of r&r can
improve the culture surrounding data
production, use and preservation
New Requirements… Increased Institutional Needs
Funded by

5. Providing universal access to data about life on
earth and the
environment that sustains it.
5
Funded by
Images Courtesy of DataONE
William Michener, PI (U. New Mexico)
Co-PIs: Suzie Allard, Matt Jones, Dave Vieglais
U.T. U.C.S.B. K.U.
New Challenges… Innovative Research Practices

6. New Network Models… Expanded Roles

7. Building Understanding: Scientists
Record
baseline
2010
Follow-up for
comparison
2014
Views: 33,786;
Google Scholar Citations: 370
(published Jun 2011)
Views: 7,737;
Google Scholar Citations: 11
(published Aug 2015)

8. Increasing interest in data sharing
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
It is appropriate to create new datasets from the
shared data
Willing to share data across a broad group of
researchers
Use others' datasets if their data were easily
accessible
76%
81%
84%
80%
88%
88%
2014 2010
2010 n=1329 2014 n=1015

9. Increasing use of metadata
standards
0% 10% 20% 30% 40% 50% 60%
DC
EML
FGDC
ISO
OGIS
Other
Lab
None
2%
7%
7%
7%
7%
6%
20%
51%
7%
9%
9%
10%
7%
7%
17%
48%
2014 2010
2010 n=1329 2014 n=1015

10. Relaxing data sharing conditions
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Complete list of products
Reciprocal sharing agreement
Reprints of articles
Opportunity to collaborate
Formally cite provider/funder
Acknowledge provider/funder
69%
72%
70%
81%
95%
93%
44%
46%
47%
59%
85%
88%
2014 2010
2010 n=1329 2014 n=1015

11. In review
Building Understanding: Educators

12. Many Barriers to Teach DM in Classroom
0% 10% 20% 30% 40% 50% 60%
I don't have enough information (n=41)
It is not my area of expertise (n=53)
There is no time to teach data management
(n=69)
30.6%
39.6%
51.5%
Educators n=134

13. Data! Data! Data!
I can’t make any bricks without clay!
-- Sherlock Holmes
The Role(s) Taken by
Academic Libraries

14. Building Understanding: Libraries
Citations: 66
1055 downloads
(published Dec.
21st, 2015)
Baseline
2010
Follow-Up
2014

15. RDS in ACRL Libraries
(U.S. & Canada)

16. Key Findings
1. ACRL academic libraries offer and are planning a
range of Research Data Services, but…
…Consultative RDS are most common
…Fewer libraries offer technical RDS
2. Libraries are faced with challenges to staff RDS
activities.

17. Opinion about library
involvement in RDS
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Librarians should be
stewards of all types
of scholarship,
including data sets
Losing data/data
sets jeopardizes
future scholarship
Library needs to
offer RDS to remain
relevant to the
institution
Researchers at my
institution will be at
a competitive
disadvantage for
grants if the library
does not provide
RDS
The library will see
decreased funding if
it does not offer RDS
76%
59%
47%
36%
10%
8%
9% 30%
29%
55%
16%
31% 23%
35% 35%
Agreement Disagreement Neither agree/disagree
(Libraries 2014) n=86

18. 1) ACRL libraries offer and are
planning a range of Research Data
Services

19. 0%
10%
20%
30%
40%
50%
Reference Collaboration Metadata
consulting
DMP Consulting
30%
13%
16% 17%
9%
4%
4% 3%
3%
5%
5% 3%
8%
7%
8%
7%
Yes
No, < 12 months
No, but within 13-24 months
No, but > 24 months
(Libraries 2014) n=128
RDS Currently Offered or Planned

20. Library Consultive RDS Engagement
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Providing
reference
support for
finding &
citing data
(n=91)
Creating web
guides for
data & data
repositories
(n=93)
Discussing
RDS with
others on a
semi-regular
frequency
(n=92)
Consulting on
data
management
plans (n=98)
Directly
participating
with
researchers
on a project
(n=93)
Consulting on
data and
metadata
standards
(n=96)
Training co-
workers in
your library,
or across
campus, on
RDS (n=93)
Outreach and
collaboration
with other
RDS
providers
(n=96)
29.7%
21.5% 19.6% 17.3% 16.1% 15.6% 12.9% 12.5%
19.8%
30.1%
18.5%
13.3% 16.2%
17.7% 20.4% 16.7%
50.5% 48.4%
62.0%
69.4% 67.7% 66.7% 66.7% 70.8%
Currently Offer Plan to Offer No Plans to Offer
(Libraries 2014)

21. Library Technical RDS Engagement
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Providing
technical
support for RDS
systems (n=92)
Identifying data
that could be
candidates for
repositories
(n=96)
Involvement in
policy
development or
strategic
planning related
to RDS (n=92)
Preparing data
for deposit into
a repository
(n=92)
Creating or
transforming
metadata for
data (n=95)
Selection of
data for
repository
(n=92)
14.1% 12.5% 12.0% 9.8% 8.4% 7.6%
23.9% 21.9% 18.5% 21.7%
15.8% 19.6%
62.0% 65.6% 69.6% 68.5% 75.8% 72.8%
Currently offer Plan to offer No plans to offer

22. Consultive Support Services Activity
by Institution Type
33%
54%
13%
Associates Colleges
Yes No Planned
33%
48%
19%
Yes No Planned
Baccalaureate Colleges
32%
42%
26%
Research/Doctoral
Yes No Planned
(Libraries 2014) n=74

23. Technical Support Services Activity
by Institution Type
7%
86%
7%
Associates Colleges
Yes No Planned
24%
52%
24%
Yes No Planned
Baccalaureate
Colleges
15%
49%
36%
Research/Doctoral
Yes No Planned

24. Collaboration
23%
77%
Yes No
Library collaboration within
college or university
10%
90%
Yes No
Library collaboration with
other college university
(Libraries 2014)

25. 2) Libraries are faced with
challenges to staff RDS activities

26. Disciplinary Librarians and RDS
61.1%
6.7%
32.2%
Individual Discipline Librarians /
Staff
Dedicated Data Librarian(s) /
Specialist(s)
Other
Research data reference/consultation/instruction services
(Libraries 2014) n=90

27. Librarian* Interaction with RDS as Part of
Regular Responsibilities
24.7%
40.4%
34.9%
Integral to job Occasional No
* Note these results represent Librarians not Libraries (Librarians 2014) n=146

28. Staff Development Activities
7%
93%
Associates Colleges
Yes No
24%
76%
Yes No
Baccalaureate Colleges
31%
69%
Research/Doctoral
Yes No
(Libraries 2014) n=71

29. Librarian* Motivation to Engage with RDS
9.3%
18.6%
16.5%
8.2%6.2%
3.1%
5.2%
33.0%
RDS are a primary responsibility I have a professional interest in RDS
RDS are important to the disciplines I support My job includes facilitating data to our respository
My job includes metadata creation training etc My research includes RDS
Other I am not involved in RDS
* Note these results represent Librarians not Libraries (Librarians 2014) n=97

30. RDS in European Libraries

31. LIBER Survey Responding
Libraries
Survey Respondents
North: 19%
East: 17%
West: 51%
South: 13%
LIBER Academic Library Membership
West: 53%
East: 16%
South: 17%
North: 15%

32. Key Findings
1. LIBER academic libraries offer and are planning a
range of Research Data Services, but…
…Consultative RDS are most common
…Fewer libraries offer technical RDS
2. Libraries use a variety of strategies for developing
staff skills

33. 1) LIBER academic libraries offer and
are planning a range of Research
Data Services

34. RDS offered by most libraries
currently
43%
44%
46%
54%
66%
77%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Outreach/collaboration with other
RDS providers
Consulting on data and metadata
standards
Consulting on data mgt plans
Training colleagues on RDS
Involved in policy
development/planning
Discussing RDS with others Consultative
Consultative
Consultative
Consultative
Consultative
Consultative
(LIBER 2016)

35. RDS offered continued
26%
32%
35%
37%
38%
0% 5% 10% 15% 20% 25% 30% 35% 40%
ID datasets
Direct participation with researchers
Creating webguides
Providing ref. support for finding/citing
data
Providing tech. support for RDS
Consultative
Consultative
Consultative
Technical
Technical
(LIBER 2016)

36. Library Consultive RDS Engagement
77%
66%
54%
46% 44% 43%
35% 37% 32%
15%
25%
34% 43% 42% 41%
49% 49%
32%
8% 8% 13% 11% 14% 16% 16% 15%
36%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Yes No, but plan to No, and no plans(LIBER 2016)

37. Library Technical RDS Engagement
38%
26% 25% 26%
7%
42%
48%
44% 43%
30%
21%
26% 31% 30%
63%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Providing
technical support
for RDS systems
ID data Preparing
data/sets for
deposit
Create/Transform
metadada
Deaccession of
data
Yes No, but plan to No, and no plans(LIBER 2016)

38. 2) Libraries have a variety of
strategies for developing staff skills

39. Have you hired staff for RDS in the last
12 months?
38.80%
61.20%
Yes
No
(LIBER 2016)

40. Has your library provided opportunities for library
staff to develop skills related to RDS?
83.9%
16.1%
Yes
No
(LIBER 2016)

41. Which of the following opportunities has your library
provided for library staff to develop skills related to
RDS?
9%
47%
59%
60%
78%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Collaboration with others with
skills related to RDS
In-house staff workshops
Support for staff to join working
groups related to RDS
Support for staff to take courses
related to RDS
Support for staff to attend
conferences & workshops
(LIBER 2016)

42. Staff Skills Development
Strategies
Collaborated with
another institution
to develop a skills-
based MOOC
Hired staff for
projects (not
permanent)
Moved staff
from other
support unit
[ITS]
Refocused an
existing role
Dramatically
increased the
workload of some
poor individual
librarian
(LIBER 2016)

43. The greatest challenge to any thinker is
stating the problem in a way that will
allow a solution.
-- Bertrand Russell (1872-1970)

44. Challenge Observations
• Awareness growing but researchers still lack
understanding & necessary skillsets.
• Lack of time and/or materials to teach data
management best practices.
• Many libraries have not yet begun offering RDS,
and it may not yet be on the horizon.

45. Solution Observations
• Researcher critical mass building.
• Some libraries already experienced, can help others.
• Library legacy of providing consultative services is
strong approach to supporting RDS introduction.
• DMP & metadata support can be high value
commitments.
• Institutional commitment being modeled by federal
agency mandate.

46. Exemplar Practical Solutions:
Tools for RDS Education and Assistance
https://www.dataone.org/education-modules

47. 1. Why Data Management
2. Data Sharing
3. Data Management Planning
4. Data Entry and Manipulation
5. Data Quality Control and Assurance
6. Data Protection and Backups
7. Metadata
8. How to Write Quality Metadata
9. Data Citation
10.Analysis and Workflows
11.Legal and Policy Issues
Exemplar Practical Solutions:
DataONE Education Modules

48. Thanks to all our
Team Members including:
Carol Tenopir-University of
Tennessee
Mike Frame - USGS
Sanna Talja-University of
Tampere
Wolfram Horstmann-
University of Gottingen
Birgit Schmidt-University of
Gottingen
Elina Late-University of
Tampere
Lynn Baird- University of Idaho
Robert Sandusky- University of
Illinois-Chicago
Dane Hughes-University of
Tennessee
Danielle Pollock-University of
Tennessee

49. 49Image: By Karin Beate Nøsterud/norden.org, CC BY 2.5 dk, https://commons.wikimedia.org/w/index.php?curid=24981375
Suzie Allard
sallard@utk.edu
Thank You!