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Global Research Data Initiatives


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Global Research Data Initiatives

  1. 1. The State of Global Research Data Initiatives Observations from a life on the road Sarah Jones Digital Curation Centre Twitter: @sjDCC
  2. 2. What is Digital Curation Centre? a centre of expertise in digital information curation with a focus on building capacity, capability and skills for research data management and open science Training | Events | Tools | Advocacy | Consultancy | Guidance | Publications | Projects All content and code Open – please reuse!
  3. 3. DCC is increasingly international Collaborate with ARDC Training workshops at Hong Kong UST, NTU & Malaysian unis Run DMPTuuli service for Finland & DMP services for 45+ organisations internationally Doing consultancy for International Development Research Council in Canada, OECD, World Bank and many others Many projects and partners across Europe Delivered data science schools in Africa and Brazil Collaborations with UCT and NeDICC in South Africa Open source code partnership with UC3 at California Digital Library on Data Management Planning tools MOU with KISTI
  4. 4. RDM services are of global interest Massive Open Online Course (MOOC) on Delivering RDM Services 1548 learners from 120 countries
  5. 5. Nowhere has it all: challenges remain Image by Sonja Guina
  6. 6. 1. Advocacy is still needed Researchers often disinterested “This is administrative” Senior management may not fund services “What is the benefit?”
  7. 7. Need to pick the right argument Researcher • Saves time and effort • Increases citations • Benefits your career… Institutional • For compliance – risk • To be stronger than peers – competition • To advance science - altruistic Tailor to your audience
  8. 8. 2. No recognition and rewards • Activities critical to the research (e.g. data wrangling, visualisation, software engineering, curation…) not valued and credited • Researchers who go into RDM jeopardise career progression – still rated on publications • We lose skilled data scientists and software engineers to industry where they have prospects
  9. 9. 3. Lack of skills & support “There is an alarming shortage of data expertise in the EU… The number of ‘Core Data Experts’ needed to effectively operate the EOSC is, we estimate, likely exceeding half a million within a decade.” EOSC High Level Expert Group _european_open_science_cloud_2016.pdf
  10. 10. CODATA/RDA Schools New data stewardship curriculum In association with groups/research-data-science-summer-schools Run annually since 2016 in Trieste, Italy Now running in Africa & South America too 9 schools to date
  11. 11. 4. Underuse of services DAF studies in UK across 6 institutions / groups gaining 1,185 responses
  12. 12. 5. Competition from publishers
  13. 13. It’s not all bad: many strengths globally Image by Tommy Lisbin
  14. 14. Large centralised investment Since 2004, the Australian Government has invested over $3 billion to deliver world-class research infrastructure, primarily through the National Collaborative Research Infrastructure Strategy (NCRIS). NCRIS in Australia NFDI in Germany The German Research Foundation (DFG) National is investing €85 million annually over 10 years - €850m via the Research Data Infrastructure (NFDI) ress/press_releases/2018/press_r elease_no_58/index.html
  15. 15. National Open Science commitment • National plan in France • Have an OS advisor at national level – Marin Dacos • Open Access enshrined in French law
  16. 16. Strong policy landscape – USA 2013 OSTP memo led to increase in of funder policies & DMP requirements
  17. 17. Disciplinary data centres - UK The UK has a long-established network of disciplinary data centres and databases to emerge from research groups. Sustainability still a challenge
  18. 18. Coordinated discovery KISTI collects and provides access to Korean research • Partnership with OpenAIRE on portal technology • Partnership with ARCD on Research Data Australia catalogue • Partnership with DCC on digital curation
  19. 19. Data stewards role
  20. 20. Next steps – work to be done Image by Lindsay Henwood
  21. 21. Join forces: Open, FAIR, RDM 3 camps one destination: the intersections of research data management, FAIR and Open Three different but overlapping concerns 1010111 000100 0100001 Open RDM FAIR
  22. 22. Open data and FAIR data Managed data FAIR data Open data • Not all data can be made Open • FAIR data can be shared under restrictions • Ideally data would be FAIR and Open
  23. 23. Open data, FAIR data & RDM Managed data FAIR data Open data • All data should be managed • RDM is a prerequisite for Open & FAIR • You can get Open data which is not reusable or well managed
  24. 24. All research data Managed data FAIR data Open data the wild • Lots isn’t managed, Open or FAIR • Much is wild as researchers don’t have support
  25. 25. Increase data which is managed FAIR & open Managed data FAIR data Open data the wild
  26. 26. Reach the Summit! Manage data Make data FAIR & Open to highest degrees 1010111 000100 0100001 Open RDM FAIR Encourage to manage and share well
  27. 27. Coordinate investments European Commission initiative to create the European Open Science Cloud (EOSC) • A platform for European research • Federation of existing services – layer that adds value • Open to all (so long as they abide by basic rules) index.cfm?pg=open-science-cloud
  28. 28. EOSC governance
  29. 29. Take back control from publishers Publishers are increasingly in control of scholarly infrastructure and why we should care: A Case Study of Elsevier [article]
  30. 30. Rethink how we procure services Set weightings / criteria that reflect our values: • Is product open source? • Will code extensions be made open for all? • Can the data be moved to another platform easily? • How many people are employed in the country by the company? • What business model and ethics does the provider have? • ….
  31. 31. Build career paths Society of Research Software Engineers • New job title (RSE) created to promote career development and recognition for those who provide software development expertise to research groups. • RSEs have coding skills but also have an understanding of the research area. • Establish institution wide research software groups at over 15 at UK unis to give job stability and career progression case study on p49 of Turning FAIR into Reality report
  32. 32. Cooperate globally – use RDA 8,800 RDA members from 137 different countries A global forum to build the social and technical bridges that enable open sharing and re-use of data
  33. 33. Some RDA groups… • Data citation WG citation-wg.html DMP Common Standards WG common-standards-wg FAIR data maturity model WG data-maturity-model-wg Metadata standards catalogue WG standards-catalog-working-group.html FAIR data maturity model WG data-maturity-model-wg Early Career and Engagement IG career-and-engagement-ig Libraries for Research Data IG research-data.html Ethics and Social aspects of data IG social-aspects-data.html
  34. 34. Global Open Science Commons IG Coordinating Global Open Science Commons IG …WG …. WG … WG Researcher Connect, University of Melbourne, 28th August 2019 commons-ig/case-statement/coordinating-global-open-science
  35. 35. RDA & GO FAIR in Brazil Poster and workshop at ConfOA on RDA and activities in Portugal and Brazil
  36. 36. What are the Brazilian strengths?
  37. 37. Muito obrigada! Eu amo o Brasil
  38. 38. Thanks! Any questions? Sarah Jones Digital Curation Centre Twitter: @sjDCC

Notas del editor

  • When asked what kind of party the EOSC would be, one group suggested an open festival as EOSC is a …