European Open Science Agenda

Open Science – genesis of a policy

Extensive stakeholder consultation� Public consultation (July-September 2014)� Validation workshops (October-December 2014)� Final report (February 2015)

Strong support by MS and Council� Policy debate & Council conclusions 'data-driven

economy' (29 May 2015)

Reflected in the Commission top priorities� Included in the Digital Single Market strategy (6 May)� One of three priorities of Commissioner Moedas (22

June)2

Competitiveness Council 29 May 2015

Strong support for the development of a European Open Science Agenda, e.g.

• CALLS for action to remove obstacles to wide access to publicly funded research publications and underlying data

• WELCOMES the H2020 Pilot on Open Research Data

• WELCOMES the further development of a European Open Science Cloud that will enable sharing and re-use of research data across disciplines and borders, taking into account relevant legal, security and privacy aspects

• LOOKS FORWARD to the possible development of action plans or strategies for Open Science

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Open Science in the Digital Single Market

3 pillars in the DSM strategy:

1. Better online access for consumers & business across Europe• EU copyright revision

2. Creating the right conditions and a level playing field for advanced digital networks and innovative services• Data Protection reform

3. Maximising the growth potential of the digital economy• Digitisation of research:

• Improving framework conditions for data-driven science

• Stepping-up existing Open Access policies across Europe

An ambitious set-up…

… evidence-supported and concrete

� 5 broad policy action lines

� 8 top-level ambitions to be realised by 2020

� New governance mechanism ensuring strong stakeholder involvement in preparation, implementation and take-up

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Five broad policy action lines…

… originating in public consultation, validated by stakeholders incl. MS and endorsed in DSM

� Fostering and creating incentives for open science

� Removing barriers for open science

� Mainstreaming and further promoting open access policies

� Developing an open science cloud

� Embedding open science in society to make science more responsive to societal and economic expectations 6

Eight top level ambitions

… 4 with regard to the use & management of research results and data

� Open Data: FAIR data sharing is the default for funding scientific research

� Science cloud: All EU researchers are able to deposit, access and analyse European scientific data through the open science cloud, without leaving their desk

� Altmetrics: The role of alternative metrics in replacing/complementing conventional indicators for research quality and impact (e.g. Journal Impact Factors and citation counts)

� Changing business models for scientific publishing: All peer reviewed scientific publications are freely accessible

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Eight top level ambitions

… 4 with regard to relations with research actors (researchers, institutions and funders)

� Rewards: The European research career evaluation system fully acknowledges Open Science activities

� Research Integrity: All publically funded research in the EU adheres to commonly agreed Open Science Standards of Research Integrity

� Education and skills: All young scientists in Europe have the necessary skills and support to apply Open Science research routines and practices

� Citizen Science: Citizen scientists significantly contribute and are recognised as valid knowledge producers of European science 8

Open Science – governance

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High-Level Group Open Science Policy Platform(20+ Members, co-chaired by the Commission, meets bi-annually)

Mandate: - Help develop the Open Science Policy Agenda - Promote uptake of agreed best policy practices

WGScientific publishing models

WG

Rewards

WG

Research Integrity

WG

Education & Skills

WG

Citizen Science

WG

Altmetrics

WG

Science Cloud

WG

FAIR Open data

Framework conditions for data:

• Copyright - TDM• Data Protection• DSM - Free Flow of Data• …

Framework conditions for actors:

• ERA• European Charter/Code for researchers • Code of conduct for Research Integrity• …

Open Science Agenda roll-out

� High Level EG on the 'European Open Science Cloud' (September 2015-June 2016)

� 'European Cloud Initiative' Communication (March 2016)

� Open Science Policy Platform HLG (April 2016) with four WGs:

� Open Science Cloud (running)

� Altmetrics (running)

� Changing scientific publishing business models

� Rewards

� Dutch Presidency Open Science Conference (4-5 April 2016)

� Council conclusions on Open Science (May 2016)

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European Open Science Cloud

European Cloud Initiative

Part of DSM strategy

Joint CNECT-RTD initiative

3 Parts:

• European Open Science Cloud

• European Data Infrastructure

• Widening the user base and building trust

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European Open Science Cloud

a trusted, open environment for storing, sharing and re-using scientific data and results and supporting Open Science practices

� A virtual environment for all European researchers to store,

manage, analysis and re-use data.

� Strongly stated needs: cost-effective, user-driven, privacy and

IPR-conscious.

� Bringing together existing and emerging data infrastructures.

� Added value: scale, data-driven science, inter-disciplinarity,

data to knowledge to innovation.13

Key requirements

� Cloud-based services for Open Science, enabling researchers to openly share and analyse research data across technologies, disciplines and countries.

� Governance platform for infrastructure and services development, mechanisms for global data stewardship, decision making on funding and long-term sustainability.

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Governance

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Lead scientific users… …long tail of science

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High performance analytics

Data fusion across disciplines

Big data management

Data access and re-use

Data manipulation and exportData discovery and catalogue

Trust

Leverage of MS investment

Legacy and sustainability

IPR and privacy protection

Federation

Ap

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g

… …

Humanities Citizen science

Bottom-up governance

European Digital

Infrastructure

Data storage

Super-Computing

High-speed connectivity

Data and Services for

Open Science

Where do main challenges lie?

� Still a lack of widespread awareness of the value of data and of incentives for data sharing.

� Lack of common standards to ensure inter-operability of data.

� Not enough hardware capacity for a particular technical enabler.

� Fragmentation and lack of coordination over different scientific communities and countries.

� Need to translate recent changes in privacy, data protection and copyright rules to the research data domain. 16

European Data Infrastructure

European Data Infrastructure will combine:

• processing data (HPC infrastructure)

• storing data (Data infrastructure)

• moving data (Network infrastructure)

User-driven and Service Oriented approach matching the Cloud Paradigm

European exascale capacity

High Performance Computing

- European capacity on components

- prototype EU HPC pre-exascale node followed by fully operational HPC exascale machine

- connect/upgrade HPC Tier 0 nodes and link them with the data infrastructure

- support centres of excellence for software and platforms adaptation to exascale

Data and software- connect/upgrade Data and Software Centres of Excellence (CoE)- install the EU Data/CoE exascale storage node- long term storage (Tier-0/Tier-1 and long-tail seamlessly connected)- support core services across domains (store, preserve, access)

Networking- rooted European platform for innovative big data-driven services- extend geographic coverage- upgrade network capacity from backbone to the campus and researcher desk

Responding to the challenges

Lack of interoperability of infrastructures

Fragmentation of deployment

Cost-efficiency

Europe risks lagging behind world-class HPC infrastructure to process data!

Widening Access and Building Trust

Data Infrastructure

HPCData and Software

Networks

Science Users

Labs and Universities

Widening the User Base

Smart MunicipalitiesData Infrastructure service delivery empowered to serve all European users:

scientists but also for other users from industry (including SMEs) and the public sector.

Data infrastructure will allow unlocking the value of Big Data and digital by default.

Call for coordinated European action

Important Project of Common EuropeanInterest (IPCEI) on HPC and Big Data enabled

applications

Objective to support the development of new usages of HPCby the industry and to guarantee access to world-class HPCfacilities for public and private research.

No one can go alone in a connected economy. It has to be an European Ambition!