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The Spanish Open Research Data Network. Lessons learned
Virtual Program on Open
Science and Research Data
Organized by Columbus Association and
Thursday 24 May 2018
The Spanish Open Research Data Network.
Red Española sobre Datos
de Investigación en Abierto
Proyecto CSO2015-71867-REDT financiado por:
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:
• open data policies;
• 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
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
4. Promotion of new lines of research
5. Support internationalization of groups
6. Creation of brief recommendations about research
data handling and management
Benefits of Open research data
• Collaboration among different research teams
• Avoid duplications, and allow validation of results
• Openess allow transparency
• Increase trust on scientists
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
• Participation in national and international events
(see http://maredata.net/index.php/eventos/ )
Subjects of interest arose during our events
• Identify needs by disciplines in research data
• Discovery of Open data in health services
suceptible of being shared (mapping open data
from public hospitals)
• Protection of data and anonymization. Access and
• Quality of data and metrics
• Blockchain technology applied to data sharing
Future lines of research
• 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
• When and where are you to share your data?
“what, how, when and where”
Lessons learned from the
• 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”