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Vienna, 19 May 2014 LIBER Conference on Digital Curation Carlos Morais Pires European Commission

Data e-infrastructures in Horizon 2020: in the context of developing world class research infrastructures. Vienna, 19 May 2014 LIBER Conference on Digital Curation Carlos Morais Pires European Commission e-Infrastructures, DG CNECT.C1. Author’s views do not commit the European Commission.

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Vienna, 19 May 2014 LIBER Conference on Digital Curation Carlos Morais Pires European Commission

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  1. Data e-infrastructures in Horizon 2020:in the context of developing world class research infrastructures Vienna, 19 May 2014 LIBER Conference on Digital Curation Carlos Morais Pires European Commission e-Infrastructures, DG CNECT.C1 Author’s views do not commit the European Commission

  2. I propose to think together about… • logic and logistics in the context of research and education • strategic relevance of research infrastructures • e-infrastructures: moving, processing and managing data • “reading” and “processing” • coherent strategies and opportunities to implement them

  3. logic, logistics, science and education from Wikipedia Logic (from the Ancient Greek: λογική, logike) is the use or study of valid reasoning in some activity Logistics is the management of the flow of goods between the point of origin and the point of consumption in order to meet some requirements, for example, of customers or corporations, from Greek logistikós skilled in calculation, rational,…

  4. libraries: research and education infrastructures Libraries have been a major, if not the main research infrastructure of academic institutions Libraries were able to collect a large segment of the world’s knowledge and make it accessible to researchers and students Libraries estates were established at the heart of the campus to perform their organizational function for the circulation of knowledge future?... a new sort archiving time-space relativity… a necessary (painful) transition Herbert Van de Sompel… a few hours ago in the opening keynote on archiving in the WEB era

  5. Research Infrastructures “Men of science […] could formerly work in isolation as writers still can. Cavendish and Faraday and Mendel depend hardly at all upon institutions and Darwin only in so far as the government enabled him to share the voyage of the Beagle. But this isolation is a thing of the past. Most research requires expensive apparatus […]. Without facilities provided by a government or a university, few men can achieve much in modern science.” from Bertrand Russell in BBC Reith Lectures,1949

  6. data has been and remains key to science Need for "expensive apparatus" is something that modern science intensified (need for more powerful telescopes, light sources, research boats, geological probes etc) Intrinsic to the ambition that European researchers remain at the vanguard of scientific discovery But there is something about research data: information opens new worlds for science

  7. research logic machines Research Data collected at observation or experimentation phase were registered in the scientists notebooks, which used to be paper books Now research data is stored in digital form. Easier to be processed by "logic machines" programmed with complex models able to dig into the data Logic machines are made of human scientific knowledge and creativity, software and the underlying hardware Scientist notebooks can now be linked to a huge amount of other data resources (including scientific papers), computers with unprecedented capacity, eventually connected to global networks

  8. Europe riding the research data wave Vision: "data e-infrastructure that supports seamless access, use, re-use, and trust of data. In a sense, the physical and technical infrastructure becomes invisible and the data themselves become the infrastructure a valuable asset on which science, technology, the economy and society can advance". The High Level Expert Group on Scientific Data presented Riding the Wave in October 2010 Russell's quote could be extended: “without data and computing infrastructures few men can achieve much in 21st century’s science”

  9. who is involved? data generators research projects, big research infrastructure, installations or medium size laboratories, simulation centres, surveys or individual researchers discipline-specific data services providing data and workflows as a service generic common data services computing centres, libraries, publishers… researchers as users using (and producing) data for science and engineering and research funders community driven data infrastructure, including ESFRI, ESFRI clusters and others

  10. … Earth Obs … life … scientific data infrastructure HPC/distributed computing/software infrastructure network infrastructure, GÉANT e-infrastructure building bridges

  11. issues to be addressed (policy framework) Are publically funded research data a public good? How do we ensure preservation and access? How to we make data discoverable and exchangeable? How to ensure integrity and reliability of data? How do we ensure appropriate recognition? How do we manage intellectual property? How do we deal with privacy in the research context? How do work the long term funding and cost/benefit? How to work at European and global levels? How to foster cooperation with developing countries? etc…

  12. Open Science Policy context A Reinforced European Research Area Partnership for Excellence and Growth, COM(2012) 392 – July 2012 Towards better access to scientific information: boosting the benefits of public investments in research, COM(2012) 401 final - July2012 Commission, Recommendation on access and preservation of scientific information, C(2012) 4890 final – July 2012 Horizon 2020 • - Open Access to Scientific Publications OpenAIRE supporting infrastructure • - Pilot on research data Data Management Plan is required

  13. a Friend Clear Green and Pure Gold… Frederick Friend, Honorary Director Scholarly Communication, UCL This paper explores the mechanisms whereby the European Commission might implement its decision in principle to introduce open access for all publications resulting from Horizon 2020 research, following the successful pilot for open access to FP7 publications […]. • 2012, Fred Friend‘s contribution paper to the European Commission

  14. issues to be addressed (e-infrastructure) The EC in coordination with EU Member States is looking after research data as an infrastructure As a valuable and a strategic resource, research data opens at least three key issues to be addressed(*): • How data can be networked • How to envision and set up data governance on a global scale • How the EU can play a leading role in helping start and steer this global trend (*) Fred Friend, Jean-Claude Guédon, Herbert Van de Sompel“Beyond Sharing and Re-using: Toward Global Data Networking”

  15. Fostering the innovation potential of Ris and their human capital Developing new world-class RI Integrating and opening existing national RI of pan-European interest Development, deployment & operation of e-Infrastructures Horizon 2020 Research Infrastructures Reinforcing European RI policy and international cooperation WP 2014-2015 190 million Euro

  16. Research Infrastructure (e-Infrastructure highlihgted) Work Programme 2014-2015 CALL 1 Developing new world class infrastructures Support to the implementation of cross-cutting Infrastructure services and solutions for cluster of ESFRI and otherrilevantReseaRch Infrastructure initiatives in a giventhematic area Support to Preparatory Phase of ESFRI projects Support to the individualimplementation and operation of ESFRI projects Design Studies CALL 2 Integrating and opening research infrastructures of pan-Europeaninterest Calls in 2014 Deadlines Sept 2014 and Jan 2015 Initiatives starting in 2015 until 2018 Integrating and opening existing national and regional research infrastructures of pan-Eutropeaninterest Managing, preserving and computingWithbigreserach data e-Infrastructures for Open Access Pan-European High Performance Computing infrastructure and services TOWARDS GLOBAL DATA E-INFRASTRUCTURES: RESEARCH DATA ALLIANCE CALL 3 e-Infrastructures e-Infrastructures for virtualResearchenvironments (VRE) Research and Education Networking – GEANT Provision of core services across e-Infrastructures Centres of Excellence for Computing applications Network of HPC Competence Centres for SMEs CALL 4 Support to innovation, humanresources, policy and international cooperation for research infrastructures New professions and skills for e-InfrAstructures Innovativeprocurement pilot action in the field of scientific instrumentation Innovation Support measures Strengthening the human capital of research infrastructures e-Infrastructure policydevelopment and international cooperation Network of National Contact Points Policy measures for research Infrastructures International cooperation for research infrastructures

  17. Research Data Alliance: a funder’ perspective Societal challenges of our time transcend borders Data and computing intensive science is made of global collaborations Research data are global – like the web The European Commission has been supporting the set-up of the Research Data Alliance (RDA) to enable data exchange on a global scale The initial phase of RDA has been supported by the collaboration between the European Commission, the US National Science Foundation and National Institute of Standards and Technology and the Australian Ministry of Research Extending to more countries and funding agencies

  18. Environment Atmosphere/Space Physics Astronomy … Aggregated Data Sets(Temporary or Permanent) Biology Medicine VRE Other Data Social Sciences Scientific Data(Discipline Specific) VRE Workflows Researcher 2 Scientific World Aggregation Path Researcher 1 Open Access: participatory, distributed infrastructure Tools for virtual research environments Generic services: preservation, curation storage and computation Tools for virtual research environments Non Scientific World RDA projection wall

  19. take five 5 principles describing the benefits of a global research data infrastructure (G8+O6) Data is: Discoverable – IDs, Descriptive Metadata, ... Accessible – Acknowledgment, License, Terms of Use, Intellectual Property, Legal ... Understandable – Semantics, Analysis, Quality, Language translation .... Manageable – Responsibility, Costs, Preservation ... People (Usable) - Workforce, Cultural, Training, ...

  20. Final remarks Data e-Infrastructures increase scope, depth and economies of scale of the scientific enterprise Horizon 2020 provides tools and opportunities addressing data and computing e-infrastructures If taken with appropriate resources and critical mass, can project Europe into the new world of data driven science The objective is to combine the expertise of scientific communities with the expertise of ICT communities capable of exploring the limits of high bandwidth communication, high-performance computing, open scientific software and virtual research environments

  21. Carlos Morais Pires carlos.morais-pires(at) ec.europa.eu Thank you!

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