IntellectualFreedom.Learning.
Discovery.
Engagement.
Transforminglivesandsociety.
Innovation. Creativity.
Research. Excellence.
KNOWLEDGE
Responsibility.
Entrepreneurship.
Leadership.
Research Data and Services in Academic Libraries
US and Europe
ForNISO 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
Challenge is a dragon with a gift in its mouth...
Tame the dragon and the gift is yours.-- Noela Evans, author
SettingtheStage
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
Providinguniversalaccesstodataaboutlifeonearthandtheenvironmentthatsustainsit.
5
Funded by
Images Courtesy of DataONE
WilliamMichener,PI(U.NewMexico)Co-PIs:SuzieAllard,MattJones,DaveVieglais
U.T.U.C.S.B.K.U.
New Challenges… Innovative Research Practices
New Network Models… Expanded Roles
Building Understanding: Scientists
Recordbaseline2010
Follow-upforcomparison2014
Views:33,786;GoogleScholarCitations:370(publishedJun2011)
Views:7,737;GoogleScholarCitations:11(publishedAug2015)
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
2010n=13292014n=1015
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
2010n=13292014n=1015
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
2010n=13292014n=1015
Inreview
Building Understanding: Educators
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%
Educatorsn=134
Data! Data! Data! I can’t make any bricks without clay!
-- Sherlock Holmes
TheRole(s)TakenbyAcademicLibraries
Building Understanding: Libraries
Citations:66
1055downloads(published Dec.21st,2015)
Baseline2010
Follow-Up2014
RDS in ACRL Libraries(U.S. & Canada)
Key Findings1. 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.
Opinion about library involvement in RDS
0%10%20%30%40%50%60%70%80%90%
100%
Librariansshouldbestewardsofalltypes
ofscholarship,includingdatasets
Losingdata/datasetsjeopardizes
futurescholarship
LibraryneedstoofferRDStoremainrelevanttotheinstitution
Researchers atmyinstitutionwillbeat
acompetitivedisadvantagefor
grantsifthelibrarydoesnotprovide
RDS
Thelibrarywillseedecreased fundingifitdoesnotofferRDS
76%59%
47% 36%10%
8%
9% 30%29%
55%
16%31% 23%
35% 35%
Agreement Disagreement Neitheragree/disagree
(Libraries2014)n=86
1) ACRL libraries offer and are planning a range of Research Data Services
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
(Libraries2014)n=128
RDS Currently Offered or Planned
Library Consultive RDS Engagement
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Providingreferencesupport forfinding&citingdata(n=91)
Creatingwebguidesfordata&datarepositories
(n=93)
DiscussingRDSwithothersonasemi-regularfrequency(n=92)
Consultingondata
managementplans(n=98)
Directlyparticipating
withresearchersonaproject
(n=93)
Consultingondataandmetadatastandards(n=96)
Trainingco-workersinyour library,oracrosscampus,onRDS(n=93)
Outreachandcollaborationwithother
RDSproviders(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%
CurrentlyOffer PlantoOffer NoPlanstoOffer(Libraries2014)
Library Technical RDS Engagement
0%10%20%30%40%50%60%70%80%90%100%
Providingtechnical
support forRDSsystems(n=92)
Identifyingdatathatcouldbecandidatesforrepositories
(n=96)
Involvement inpolicy
developmentorstrategic
planningrelatedtoRDS(n=92)
Preparingdatafordepositintoarepository
(n=92)
Creatingortransformingmetadatafordata(n=95)
Selectionofdataforrepository(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%
Currentlyoffer Plantooffer Noplanstooffer
Consultive Support Services Activity by Institution Type
33%
54%
13%
AssociatesColleges
Yes No Planned
33%
48%
19%
Yes No Planned
BaccalaureateColleges
32%
42%
26%
Research/Doctoral
Yes No Planned(Libraries2014)n=74
Technical Support Services Activity by Institution Type
7%
86%
7%
AssociatesColleges
Yes No Planned
24%
52%
24%
Yes No Planned
BaccalaureateColleges
15%
49%36%
Research/Doctoral
Yes No Planned
Collaboration
23%
77%
Yes No
Librarycollaborationwithincollegeoruniversity
10%
90%
Yes No
Librarycollaborationwithothercollegeuniversity
(Libraries2014)
2) Libraries are faced with challenges to staff RDS activities
Disciplinary Librarians and RDS
61.1%6.7%
32.2%
IndividualDisciplineLibrarians/StaffDedicatedDataLibrarian(s)/Specialist(s)Other
Research data reference/consultation/instruction services(Libraries2014)n=90
Librarian* Interaction with RDS as Part of Regular Responsibilities
24.7%
40.4%
34.9%
Integraltojob Occasional No
*NotetheseresultsrepresentLibrarians notLibraries(Librarians2014)n=146
Staff Development Activities
7%
93%
AssociatesColleges
Yes No
24%
76%
Yes No
BaccalaureateColleges
31%
69%
Research/Doctoral
Yes No
(Libraries2014)n=71
Librarian* Motivation to Engage with RDS
9.3%
18.6%
16.5%8.2%6.2%
3.1%5.2%
33.0%
RDSareaprimaryresponsibility IhaveaprofessionalinterestinRDS
RDSareimportanttothedisciplinesIsupport Myjob includesfacilitatingdatatoourrespository
Myjob includesmetadatacreationtrainingetc MyresearchincludesRDS
Other Iamnotinvolved inRDS
*NotetheseresultsrepresentLibrarians notLibraries(Librarians2014)n=97
RDS in European Libraries
LIBER Survey Responding Libraries
SurveyRespondents
North:19%
East:17%West:51%
South:13%
LIBERAcademicLibraryMembership
West:53%East:16%
South:17%
North:15%
Key Findings1. 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
1) LIBER academic libraries offer and are planning a range of Research Data Services
RDS offered by most libraries currently
43%
44%
46%
54%
66%
77%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Outreach/collaborationwithotherRDSproviders
Consultingondataandmetadatastandards
Consultingondatamgtplans
TrainingcolleaguesonRDS
Involvedinpolicydevelopment/planning
DiscussingRDSwithothers Consultative
Consultative
Consultative
Consultative
Consultative
Consultative
(LIBER2016)
RDS offered continued
26%
32%
35%
37%
38%
0% 5% 10% 15% 20% 25% 30% 35% 40%
IDdatasets
Directparticipationwithresearchers
Creatingwebguides
Providingref.supportforfinding/citingdata
Providingtech.supportforRDS
Consultative
Consultative
Consultative
Technical
Technical
(LIBER2016)
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,butplanto No,andnoplans(LIBER2016)
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%
ProvidingtechnicalsupportforRDSsystems
IDdata Preparingdata/setsfor
deposit
Create/Transformmetadada
Deaccessionofdata
Yes No,butplanto No,andnoplans(LIBER2016)
2) Libraries have a variety of strategies for developing staff skills
Have you hired staff for RDS in the last 12 months?
38.80%
61.20%
Yes
No
(LIBER2016)
Has your library provided opportunities for library staff to develop skills related to RDS?
83.9%
16.1%Yes
No
(LIBER2016)
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
(LIBER2016)
Staff Skills Development
Strategies
Collaboratedwithanotherinstitutiontodevelopaskills-
basedMOOC
Hiredstaffforprojects(notpermanent)
Movedstafffromothersupportunit
[ITS]
Refocusedanexistingrole
Dramaticallyincreasedthe
workloadofsomepoorindividual
librarian
(LIBER2016)
The greatest challenge to any thinker is stating the problem in a way that will
allow a solution.-- Bertrand Russell (1872-1970)
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.
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.
Exemplar Practical Solutions:Tools for RDS Education and Assistance
https://www.dataone.org/education-modules
1. Why Data Management2. Data Sharing3. Data Management Planning4. Data Entry and Manipulation5. Data Quality Control and Assurance6. Data Protection and Backups7. Metadata8. How to Write Quality Metadata9. Data Citation10.Analysis and Workflows11.Legal and Policy Issues
Exemplar Practical Solutions:DataONE Education Modules
Thanks to all our Team Members including:
Carol Tenopir-University of Tennessee
Mike Frame - USGSSanna Talja-University of
TampereWolfram Horstmann-
University of GottingenBirgit Schmidt-University of
Gottingen
Elina Late-University of Tampere
Lynn Baird- University of IdahoRobert Sandusky- University of
Illinois-ChicagoDane Hughes-University of
TennesseeDanielle Pollock-University of
Tennessee
49Image:ByKarinBeate Nøsterud/norden.org, CCBY2.5dk,https://commons.wikimedia.org/w/index.php?curid=24981375
Thank You!