This document summarizes a presentation about Maredata, a Spanish network focused on open research data management. The network brings together Spanish research teams working on topics like interoperability, access, preservation, and open data policies. It aims to coordinate these groups, avoid duplications in research, and promote transparency. The benefits of open research data discussed include increased collaboration, validation of results, and transparency. Future areas of focus for the network include identifying discipline-specific research data management needs, exploring open health data, and addressing issues like data protection, quality, and ethics.
The Spanish Open Research Data Network. Lessons learned
1. Virtual Program on Open
Science and Research Data
Management
Organized by Columbus Association and
UNESCO
Thursday 24 May 2018
The Spanish Open Research Data Network.
Lessons learned
Remedios Melero
IATA-CSIC
2. Red Española sobre Datos
de Investigación en Abierto
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Proyecto CSO2015-71867-REDT financiado por:
http://maredata.net/
3. What is Maredata?
• It is a network of research groups from different
Spanish universities and research centres that work
in subjects related to the management of research
data, among them:
• interoperability;
• access;
• preservation;
• metrics;
• open data policies;
• …
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4. General objective
• Bring together and consolidate collaboration among
Spanish research teams working on research data
management, data curation, data handling
technologies…and establish links with any other
stakeholders involved in data sharing
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5. Specific aims
1. Coordination of new actions among partners
2. Localization of research teams that have been funded
by the programme H2020.
3. To know who is who in handling and dissemiantion of
research data
4. Promotion of new lines of research
5. Support internationalization of groups
6. Creation of brief recommendations about research
data handling and management
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6. Benefits of Open research data
• Collaboration among different research teams
• Avoid duplications, and allow validation of results
• Openess allow transparency
• Increase trust on scientists
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7. Open research data, why?
• “As open as possible, as closed and necessary”
• Research data that results from publicly funded
research should be become and stay findable, acessible
interoperable and re-usable (FAIR principles)
• Research data are not only interesting for research
purposes but for increasing innovation in the private
sector and for the society in general
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14. Subjects of interest arose during our events
Legal
issues
Licensing
Metrics
Preservation
Data
quality
Open science
polices
Open data
versus open
research data
Data sharing
Transparency
Reproducibility
Data management
Ethics
15. • Identify needs by disciplines in research data
management
• Discovery of Open data in health services
suceptible of being shared (mapping open data
from public hospitals)
• Protection of data and anonymization. Access and
Ethics
• Quality of data and metrics
• Blockchain technology applied to data sharing
Future lines of research
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16. • What data are worth to share?
• How to share and preserve data?
• How to manage your data?
• How to anonymize your data?
• How to comply with your funder’s open science
policy?
• When and where are you to share your data?
Brief recommendations
“what, how, when and where”
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17. Lessons learned from the
network…..
• It helps to create change
• It helps to analyze your own flaws
• It helps to analyze the context of your community and ascertain your
weakness, challenges and opportunities
• It contributes to create collaboration among groups that one does not
know/meet before (new collaborators)
• ……….
• “a sentir que no estás solo”
