Presentació a càrrec de Lluís Anglada, director de Ciència Oberta al CSUC, duta a terme dins del workshop "Open Data Strategy" organitzat per la Institució CERCA el 6 de juny de 2019.

1. Research Data Management
CSUC activities & services
Lluís Anglada & Mireia Alcalá
Consortium of University Services in Catalonia. Open Science Area
Open Data Strategy (06.06.19) – Institució CERCA

2. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps
Summary

3. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps

4. CSUC and Open Science
From the former CBUC, since 1998 we’re creating services for
researchers
• 1998: licensing e-journals
• 2001: the 1st OA repository (for doctoral theses)
• 2006: a portal for OA journals
• 2010: reference manager working group (Mendeley, 2014)
• 2013: a stable working group for services to research
• 2016: RDM services
 In 2017, a new organizational Open Science area was created
• Mission: to collaborate with universities as to reduce the adaptation
efforts to fulfil the requirements of open science
• Vision: OS = O (M + A + D)
OS = Open Science, O = Open, M = Metadata A = Articles D = Data

5. OPENSCIENCEAREA
Committee formed by
vice-rectors for research
Research Support
Working Group
Commission for the
Catalan Research Portal
Open Science Area

6. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps

7. Research Data Management: CSUC’s vision
Size
Projects
Policies
DMP
Promotion
Training

8. Training and promotion
 Training
• At CSUC level (inviting experts)
– Establishing research data management in European
universities – Paul Ayris, UCL (2015)
– Gestión de datos de investigación – Fernanda Peset,
UPV (2016)
– Definir e implantar estrategias y servicios
institucionales para la gestión de datos de
investigación– Eloy Rodrigues, UMinho (2019)
– Next: RDM and Data Stewardship – Heather
Andrews, TUDelft (Oct’19)
• At university level (organizing staff courses)
 Promotion
• Article in LQ (DOI: 10.18352/lq.10253)
• Infographics
• Video

9. Data policy
Promote the implementation of research data policies
• Framework agreement for open access to research data (2016)
supported by the vice rectors for Research of the Universities of
Catalonia (https://goo.gl/w6LcJk)
– Topics:
– Open Access as a default
– Responsibilities
– Retention and storage
– Data Management Plan
– Costs
– Preservation
– Support and monitoring
• Template (2018) for drawing up an institutional data policy, following
both the above recommendations and others proposed by LEARN

10. Evaluate repositories for research data (and adapt IR in some cases)
This guide provides sources for consulting:
• disciplinary repositories (directories, publishers' recommendations, etc.).
• multidisciplinary repositories (a comparative table showing the type of
data allowed, the file size, the associated licences, the cost of depositing,
etc.).
 Using existing IR to publish data
• It’s an easy and quick solution to solve the need of publishing data.
• This solution has clear limitations and has no future.
Periodic
revision
(v1 Jul’16,
v2 Nov’16 &
v3 Mai’17)

11. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps

12.  Many funders require DMPs  For this reason, the main
objective of the 1st action was focused on supporting
researchers in creating their DMPs
• Available in http://hdl.handle.net/2072/270395
 2016: 1st version of EinaDMP dmp.csuc.cat
• and updated at 2018
 EinaDMP is
• Created collectively
• Used at personal / institutional level
 The guides are specifically aimed at projects financed under the
European Commission:
• Horizon 2020
• European Research Council (ERC)
And to include added value:
– The FAIR principles
– Selected examples from real DMPs
Data Management Plan (DMP)

13.  EinaDMP (dmp.csuc.cat) is a free online tool that allows you to:
• Create: answer the questions and you’ll get a DMP FAIR
• Share: collaborate with other researchers by giving them read-only, writing or co-owning
permissions
• Export: convert your document to DOC, PDF, XML…
EinaDMP
 Instance of DMPRoadmap
• Open source software
• Distributed under the MIT licence
• Developed by the Digital Curation
Center and the University of
California Curation Center

14. DMP – Collective template jointly maintained

15. DMP – Individual specifications customized by each institution

16. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps

17. Creating a FAIR data repository
Nº of projects
Size and
complexity
 The vice-rectors for research of the Universities of Catalonia decided to
commission a report that would determine the reasonable functional
requirements that a data repository must have in order to comply with the
FAIR requirements
 The report “Feasible, Affordable and Implementable Requirements for a
FAIR data repository”:
• Analyzes the references from other countries
• Studies some technical reports
• Interviews 25 experts
• Determines 25 functional requirements
• Proposes final recommendations
http://hdl.handle.net/2072/356460

18. Contextual determinants & best practices
The interview with experts agreed that:
• A series of decisions that would affect the future development of the repository
should be taken prior to setting it up
– Now or waiting
– Definitive or under development
– Final data or also include provisional data
– Here in Catalonia or external ones
– For all disciplines or to focus on disciplines without consolidated data repositories
• It was a essential to develop best practices for RDM:
– Data curation
– Dataset selection
– Encouraging the use of open formats
– Using widely-accepted controlled standards, protocols and vocabularies

19. 1. Persistent identifiers
 Assign DOI as the identifier
 To support ORCID
2. High storage capacity
 Files up to 10 GB by default
 Growth elasticity
3. Medium to long-term preservation
 Store files for at least 10 years
 To have at least two copies at different geographic
locations
 Check the data integrity periodically
 Follow the OAIS preservation model
4. Interoperability with other systems
 Repositories (institutional, thematic…)
 Storage tools in the cloud (Unidisc, Dropbox…)
 Discovery tools (EOSC, PRC, OpenAire…)
 Standard communication protocols (OAI-PMH, API…)
 Standard data formats (XML, JSON)
5. Management of special characteristics
 Versioning
 Manage different metadata schemes
 Type of access
 Accept any type of format
 Allow different types of ingestion
 Recommended citation
 Dissemination of datasets through social networks
 Manage different types of licenses
 Analytical data
 Metadata for reuse
 User-friendliness
 Comply with current legislation
Feasible and minimum functional requirements

20. Final recommendations
1. To immediately create a repository in Catalonia for publication of research data in order
to develop expertise and best practices that:
– meet the current FAIR requirements,
– offer added-value benefits in comparison with the current options,
– use available open-code software
2. Promote and facilitate the research data publication
– Promote the creation of DMPs
– Disseminate the advice service of data publication
– The service must be publicized in a coordinated way involving all the services and research
offices
3. Training must be provided on the concepts of Open Science in general & RDM in
particular.
– To all the members of the university community but, to be effective, distinguishing:
– Advanced users
– Young researchers
– University support staff

21. 1. CSUC and Open Science
2. RDM: vision, activities & services
3. DMP
4. FAIR x FAIR
5. Next steps

22. Next steps
Implement a policy
in each university
More DMP
templates
Build a FAIR data
repository
Promote and
publicize the
service

23. Thank you!
Lluís Anglada
lluis.anglada@csuc.cat