The document discusses the principles and practices of research data management, emphasizing the FAIR data principles that enhance data reusability. It outlines the role of data management plans (DMPs) in compliance with funding bodies and describes training initiatives and institutional support provided by the Consortium of University Services in Catalonia. The document also introduces a FAIR data repository, DataverseCAT, which supports open research data and facilitates adherence to data management standards.

1. Research Data Management
DMP & repository
Mireia Alcalá
Consortium of University Services in Catalonia. Open Science Area
Workshop: Research Data Management & Open Science (02.11.20) – IDIBELL

2. Publications and data
 DATA: ‘any information that has been
collected, observed, generated or
created to validate original research
findings’
 OPEN (RESEARCH) DATA: ‘are
online, free of cost, accessible data
that can be used, reused and
distributed provided that the data
source is attributed’ (FOSTER)
(FOSTER)

3. Making data FAIR
 In 2014, a core set of principles were drafted in order to optimize the
reusability of research data, named the FAIR Data Principles:
• Findable: Assign persistent IDs, provide rich metadata, register in a searchable
resource...
• Accessible: Retrievable by their ID using a standard protocol, metadata remain
accessible even if data aren’t...
• Interoperable: Use formal, broadly applicable languages, use standard
vocabularies, qualified references...
• Reusable: Rich, accurate metadata, clear licenses, provenance, use of
community standards…

4. Horizon 2020 and the RDM
 In the 2014-16, the Open Research Data pilot included only selected areas
of Horizon 2020  But, in 2017, the pilot has been extended to cover all
the thematic areas of the program.
 Addresses two things at one:
• Streamlining RDM as a standard practice through Data Management Plans
(DMPs): required as deliverable
• Open access to research data- ‘as open as possible, as closed as necessary’
(Opt-out options for IPR, confidentiality/privacy and security reason as well as if
OA runs against the main objective of the project.)

5. Research Data Management: CSUC’s vision
Size
Projects
Policies
DMP
Training&Promotion
Repository
We support universities & research centers to ensure that the management of their research
data adapt to the requirements of funding bodies following the FAIR principles

6. Training and promotion
 Training
• At CSUC level (inviting experts)
coordinated with i-CERCA
– 5 courses (177 participants)
– 2020-2021: 4 courses scheduled
• At university level (organizing staff
courses)
 Promotion
• Article in LQ (DOI: 10.18352/lq.10253)
• Infographics
• Videos

7. 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
– 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
the above recommendations and others proposed by LEARN
– UB and UAB have approved their policy following this template

8.  DMP is a formal document that outlines how data must be handled both during a
research project and after the project is completed, and helps you with:
• Which data will be created
• Standards and methodologies to be used, documentation
• How ethics an Intellectual Property will be addressed
• Plans for storage and backup
• Plans for data sharing and access
• Strategy for long-term preservation
Data Management Plan (DMP)

9.  Many funders require DMPs  For this reason, the main
objective of the 1st action was focused on supporting
researchers in creating their DMPs
 2016: 1st version of
• Updated in 2018 and revised periodically
 eiNa DMP is
• Created collectively
• Used at personal / institutional level
 The tool includes guides, descriptions and real examples
for:
• Horizon 2020
• European Research Council (ERC)
• Plan Estatal de Investigación Científica
• Software Sustainability Institute
• PhDs
Supporting DMPs

10.  eiNa DMP (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…
eiNa DMP
 Instance of DMPRoadmap
• Open source software
• Distributed under the MIT license
• Developed by the Digital Curation
Center and the University of
California Curation Center

11. DMP – Collective template jointly maintained

12. eiNa DMP

13. Sharing data
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 licenses, the cost of depositing, etc.).

14. 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

15. DataverseCAT
 FAIR research data repository
 Federated
 Multidisciplinary
 For open research data
 For researchers from
CSUC universities and
CERCA centers

16. Dataverse software
 An open-source platform to publish, cite, and archive research data
 Built to support multiple types of data, users, and workflows
 Developed at Harvard’s Institute
 More than 60 installations around the world
• In Europe, federated cases: DataverseNL (Netherlands), DataverseNO (Norway)

17. Instances, organization & datasets
UB
UAB URV
Altres
UPC UdG
i-CERCA
UPF

18. Deposit process

19. FAIR implementation in Dataverse
 Findable
• Assign DataCite DOIs
• Metadata standards in human and machine-readable formats
• ID is in the metadata tab of the dataset and file landing page
• DataCite metadata is registered and indexed by DataCite Search (& Google
Dataset Search)
 Accessible
• Support for HTTP, APIs,..
• Open metadata even if data are restricted
 Interoperable
• Linked data (JSON, XML..)
• Controlled vocabularies
• Metadata templates
 Reusable
• Licenses
• Access and use terms
• Full data citation
• Versioning
• File format conversion

20. FAIR Data in Dataverse
Data Citation with
Persistent Identifier (DOI)
Data files
Metadata
Data licenses, User agreements Versioning

21. DataverseCAT, a repository to develop expertise and good practices
• DataCite metadata
• Standards and vocabularies
• File naming and organizing folders
• Readme.txt
• Licenses
• Data citation
• Storing data
• Anonimization
• Open formats
• …

22. Thank you!
Mireia Alcalá
mireia.alcala@csuc.cat