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The Spanish Open Research Data Network. Lessons learned

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Reme Melero

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The Spanish Open Research Data Network. Lessons learned

  1. 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. 2. Red Española sobre Datos de Investigación en Abierto 2 Proyecto CSO2015-71867-REDT financiado por: http://maredata.net/
  3. 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; • … 3
  4. 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 4
  5. 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 5
  6. 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 6
  7. 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 7
  8. 8. https://ec.europa.eu/research /press/2016/pdf/opendata- infographic_072016.pdf
  9. 9. http://figshare.com/articles /Overview_of_OSTP_Respo nses/1367165
  10. 10. http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
  11. 11. Dissemination/Promotion • Workshops • Seminars • Participation in national and international events (see http://maredata.net/index.php/eventos/ ) 12
  12. 12. 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
  13. 13. • 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 15
  14. 14. • 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” 16
  15. 15. 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”
  16. 16. 18 Thanks!! On behalf of my colleagues

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