Europe s e-infrastructures: The starting blocks for Open Science & Innovation

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1 Natalia Manola Athena Research and Innovation Centre Europe s e-infrastructures: The starting blocks for Open Science & DADOS DE INVESTIGAÇÃO E CIÊNCIA ABERTA RUMO A UMA ESTRATÉGIA NACIONAL Porto, Sept 22, 2016

2 fosters the social and technical links that enable Open Science in Europe and beyond Human Network Digital Network 50 Partners from every EU country, and beyond Data centers, universities, libraries, repositories, legal experts

3 Enriching An EU-CRIS system Discovery Funding Info Crowdsourcing CRIS systems Metadata Validation Datasets Authors Monitoring Literature Repositories OA Journals Full text Cleaning De-duplicating Publicati ons Data Providers Reporting APIs Aggregators Data Repositories Inferring Linking Projects Organiz ations Classification Clustering Evaluation Impact Usage data Analysis Trends Data Providers OpenAIRE Platform Services

4 Integrated Scientific Information System Access to Datasets Publications Authors Data Providers 17 mi unique publications 25 K datasets linked to publications 750 validated data providers 370Κ publications linked to projects from 6 funders Projects Organizations 3.5K links to software repositories

5 Human Infrastructure Local support for Europe s diverse research landscape Human support network 33 expert nodes all over Europe to helping with: Open Science training & support OA policy alignment Technical assistance

6 World-wide alignment & synergies Interoperability alignment, sharing technologies & services La Refencia: Latin America repository network JAIRO Japanese Institutional Repositories Online REMERI Mexican Network of Institutional Repositories

7 Open Science KEY CHARACTERISTICS OF A SUSTAINABLE OPEN SCIENCE E-INFRASTRUCTURE Facts & lessons learnt from 6 years of OpenAIRE operation

8 Different disciplines, needs, behaviors Diverse research information/data sources (publication, data, software, ) Long tail of science vs. big science Interoperability at all levels human, organization, policy, legal, technology PARTICIPATORY DESIGN IS KEY 1. One size does not fit all

9 2. Open scholarship is in flux Data driven science Shared economies Reproducibility, replicability & accountability Scientific credit goes beyond peers Web-based research & social networks Need to keep up Be ahead of developments EXPLORE, ADOPT, ADAPT

10 3. Research is global implementation & support is local Barrier-free communication throughout the research life cycle Human capacities a key success factor Data skills at various levels within organizations

11 4. Open Science services for all Small services can take you a long way Trusted, secure & robust value added services embedded in all phases of the research Not just for researchers - meaningful to all stakeholders Open Science as a Service (OSaaS) out-of-the-box, on-demand deployable tools

12 5. Community on the driver seat. Public funder in the passenger seat. Listen to the needs Participatory and agile design Involve the research community in the design, Better and faster uptake No lock-in solutions for easier future transitions operation and governance

13 6. Build trust for all stakeholders Community values Researchers choose services based on credibility & sustainability Reliable services Quality of data and content Sustainability Supporting services International recognition Service Level Agreements (SLAs)

14 7. Innovation is everywhere Open policies for science one of many ways to foster innovation (Over)regulation stunts growth (e.g., TDM licenses) Need for a shared integrated legal interoperability framework

15 8. Policies are useless without an implementation plan Implementation is key to a successful policy and technical solutions must be in place before a policy is activated. Invest in monitoring & assessment mechanisms

16 9. Build on prior work - National, thematic and institutional centers Shared investments All layers in effective network Place research institution in the center Coordinate and align efforts via well defined policies and rules of engagement

17 10. e-infrastructures are hard to grasp and commit to Researchers notice when something goes amiss Funders need to change from cost to investment mentality Need time to mature Long term commitment Continuous investment Effective coordination

18 e-infrastructures for Open Science EUROPE S EFFORTS A day in a researcher s life

19 Beth & colleagues receive a grant TOPIC: identify water & air borne diseases and alert How, what, when, where? Open Peer Review? How to enhance my Impact? 1 Access to facilities with fast network GEANT Common Access with EduGain Common identification with ORCID DMP Foster Open Science OpenAIRE EUDAT THOR EUDAT OpenAIRE INRA, FAO, EFSA, What is similar out there? Who can I collaborate with? OpenAIR E 2 What data will I create? How can I share it with my colleagues? What policies for use and re-use? 3 5 How to best describe it? Where to store it? How to make it accessible? Preservation? Store and Curate Can I scan the literature for similar results? Further Analysis OpenAIRE OpenMinTeD EGI Process & Analyze What tools to use? Do I have big data? Publish 4 6 OpenAIRE EUDAT DOAJ Re3Data Where to run? What facilities? How to prepare and transfer? EGI PRACE

20 Take home messages 1. Open Science has many facets Translate the high level OS Policy to smaller tangible implementable policies 2. Place the research institution in the centre Support researchers in daily activities Promote the service provision mentality 3. National e-infrastructures need to position themselves within the European and global context Coordinate at national level one strategy, one voice BUT different roles & responsibilities among organizations Actively participate in EU e-infrastructures for harmonization

21 Thank you! Visit us at the EC village Open Science ev4 / OpenAIRE ev3.a facebook.com/groups/openaire linkedin.com/groups/openaire natalia@di.uoa.gr