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Research Data Management: CSUC activities & services
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
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
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