Presentació a càrrec de Mireia Alcalá, tècnica de Recursos d'Informació al CSUC, duta a terme al workshop en línia "Research Data Management & Open Science" organitzat per l'IDIBELL el 2 de novembre de 2020.

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