Librarians have an opportunity to get involved in research data management (RDM) by establishing credibility in this new area and learning new technical skills. RDM allows librarians to get closer to the research community and their processes. It also gives librarians access to unpublished research materials. The document discusses several roles and areas of engagement for librarians in RDM, including supporting RDM processes and workflows, infrastructure, governance, and skills development. It provides recommendations for libraries to get started with RDM and compares different training courses available to prepare librarians for RDM roles and competencies.

1. RESEARCH DATA MANAGEMENT
Librarians Skills & Competencies
Roles & Training
Pedro Príncipe – pedroprincipe@sdum.uminho.pt
Joint COAR/SPARC Workshop
[April 14, 2014]

2. What does RDM offer to librarians?
 Chance:
 to establish credibility in a new area of
engagement
 to learn new ‘technical skills’.
 Opportunity:
 to get closer to the research community and their
research processes (closer working relationships).
 to get your hands dirty with unpublished or raw
materials that are the building blocks of
knowledge.

3. Today's Research Data is
tomorrow's library collection…
3

4. ROLES & ENGAGEMENT
1
4

5. WHAT RESEARCH DATA
MANAGEMENT PROCESSES
ARE WE SUPPORTING?
What Research Data Management processes we need to support?
What Research Data Management processes are we suppose to support?
5

6. Supporting…
RESEARCH
WORKFLOW
DMPs, existing data,
documentation,
datasets, deposit,
share
INFRASTRUCTURE
Data archives,
repositories, access,
licensing, preservation,
cloud, DOI
GOVERNANCE
Funder, University,
publisher, Research
institutions, policy,
protocols

7. Ligue des Bibliothèques Européennes de Recherche
Association of European Research Libraries

8. 10 Recommendations for libraries to get
started with research data management
Regrouping the recommendations – Areas of engagement
Support services
#1 Offer research data management support, including data management plans for grant applications, intellectual
property rights advice and information materials. Assist faculty with data management plans and the integration of
data management into the curriculum.
#6 Support the lifecycle for research data by providing services for storage, discovery and permanent access.
Infrastructure & standards
#2 Engage in the development of metadata and data standards and provide metadata services for research data.
#5 Liaise and partner with researchers, research groups, data archives and data centers to foster an
interoperable infrastructure for data access, discovery and data sharing.
#7 Promote research data citation by applying persistent identifiers to research data.
#8 Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure.
#10 Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT
units and/or seek exploitation of appropriate cloud services.
Policy & disciplinary practices
#4 Actively participate in institutional research data policy development, including resource plans. Encourage
and adopt open data policies where appropriate in the research data life cycle.
#7 ... (with some disciplinary views on data citation)
Skills & staffing
#3 Create Data Librarian posts and develop professional staff skills for data librarianship.
#1 … and the integration of data management into the curriculum.
8

9. Areas of RDM engagement
Support
services
Infrastructure
& standards
Policy &
disciplinary
practices
Skills &
staffing

10. Roles & competences
Simple exercise:
 Map LIBER recommendations
 With some of the competences identified by RDMRose
project (http://rdmrose.group.shef.ac.uk/?page_id=10#session-13-the-lis-role-in-rdm)

11. Some highlights of LIBER
Recommendations
 RDM support on data management plans for grant
applications and advice on intellectual property
rights.
 Reference interview management, knowledge of RDM
principles
 Knowledge of institutional and extra-institutional
resources
 Knowledge of researchers’ needs, knowledge of available
material
 Provide metadata services for research data.
 Metadata skills

12. Some highlights of LIBER
Recommendations
 Encourage and adopt open data policies.
 Knowledge of researchers’ needs, knowledge of
available material
 Audit interviews, knowledge of RDM principles,
metadata, licensing
 Participate in institutional research data
policy developments
 Strategic understanding and influencing skills
 Knowledge of institution

13. Some highlights of LIBER
Recommendations
 Liaise and partner with researchers, research
groups, data archives and centers to foster an
infrastructure for data access, discovery and sharing.
 Knowledge of institution
 Knowledge of RDM principles, relevant technologies and
processes, metadata
 Support the lifecycle for research data by providing
services for storage, discovery and access.
 Knowledge of RDM principles, relevant technologies and
processes, metadata
 Metadata skills

14. Some highlights of LIBER
Recommendations
 Provide an institutional Data Catalogue or Data
Repository, depending on available infrastructure.
 Audit interviews, knowledge of RDM principles,
metadata, licensing
 Knowledge of RDM principles, relevant technologies and
processes, metadata
 Get involved in subject specific data management
practice.
 Understanding of RDM best practices as they apply to
relevant disciplines; pedagogic skills
 Knowledge of institution

15. Support and consultancy
15
www.ed.ac.uk/schools-departments/information-
services/research-support/data-library
http://www.monash.edu/library/researchdata

16. Support/tools for DMP
http://youtu.be/Lc82pxxRkMo

17. DCC – metadata page
http://www.dcc.ac.uk/resources/metadata-standards

18. http://youtu.be/V8IIdfBAr_0
RDM policy for UoE

20. www.zenodo.org

21. PhD
student
university
research
team
individual
researcher
supra-
university
Where do I safely keep my
data from my fieldwork, as
I travel home?
How can I best keep
years worth of research
data secure and
accessible for when I
and others need to re-
use it?
How do we ensure
compliance to funders’
requirement for several
years of open access to
data?
How do we ensure we
have access to our
research data after some
of the team have left?
How can our
research
collaborations share
data, and make
them available once
complete?
Seeking the real win + win + win + win + win……
Tony Weir, Director, IT Infrastructure, UoE

22. TRAINING
2
22

23. Training common themes
 What is data?
 Roles and
responsibilities
 Policy
 Data management
 Data sharing
 DMPs
 Tools and services
 Storage
 Access
 Ethics
 Publishing
 Preservation
 Citation
 Licensing
 …

24. Comparing Notes:
Training Librarians for RDM
(#idcc15 workshop)
Let's look at some examples of RDM
training courses for librarians:

25. Essentials 4 Data Support
http://datasupport.researchdata.nl/en/
25

28. Essentials 4 Data Support
http://datasupport.researchdata.nl/en/
28

29. RDMRose
http://rdmrose.group.shef.ac.uk/
29

31. http://rdmrose.group.shef.ac.uk/wp-content/uploads/Resource-0-RURDMReady-RDMRose.docx

32. RDMRose
http://rdmrose.group.shef.ac.uk/
32

33. DIY Training Kit for Librarians
http://datalib.edina.ac.uk/mantra/libtraining.html
33

34. http://datalib.edina.ac.uk/mantra/

36. DIY Training Kit for Librarians
http://datalib.edina.ac.uk/mantra/libtraining.html
36

37. supportDM
http://www.uel.ac.uk/trad/outputs/resources/
37

39. https://moodle.uel.ac.uk/xerte/play.php?template_id=75

40. supportDM
http://www.uel.ac.uk/trad/outputs/resources/
40

41. RDM Support (University of Amsterdam)
http://figshare.com/articles/RDM_Support_basic_tr
aining_course_for_information_specialists/1285313
41

44. RDM Support (University of Amsterdam)
http://figshare.com/articles/RDM_Support_basic_tr
aining_course_for_information_specialists/1285313
44

45. Course comparisons
RDMRose
Intro & roles
Policy & practice
Lifecycle & DMPs
Support landscape
(Open) data
RDM, repositories,
metadata &
citation
Case study & job
descriptions
Roles &
responsibilities.
Reflecton.
Essentials 4
data support
Definitions
Planning
Collecting,
describing &
storing data
Archive, publish,
cite data
Policy, practice,
licensing
Data support,
roles, case
studies
SupportDM
Intro to data
& RDM
Supporting
researchers
DMPs
What to keep
and why
Cataloguing
data
Data sharing
RDM Support
Intro to RDM
Data & services
DMPs
Data storage &
retention
Data description
Rules on
research data
Data sharing
and reuse
DIY Kit
Research data
explained
DMPs
Documentation
Storage &
security
Ethics &
copyright
Data sharing
Case study
Intros
Policy
DMPs
Description
Storage
Case studiesRoles
Legal issues
Archive & share
Support &
services
Sarah Jones @sjDCC slide
http://www.dcc.ac.uk/sites/default/files/documents/events/workshops/Comparing-notes/RDM-courses.pptx

46. We need to…
 gain confidence
 and understanding rdm issues
46

47. DO NOT USE LACK OF INFRASTRUTURE
AS AN EXCUSE NOT TO START WITH
RDM SERVICES
Lesson Learned:
47

48. LETS FOCUS ON
WHAT WE CAN DO AS ADDED VALUE
So…
48

49. Thanks
@pedroprincipe