FAIRsFAIR - Platform of National eScience Centers in EuropeFAIR uptake and compliance in all scientific communities •Coordinate initiatives across member states and associated countries

FAIRsFAIRINFRAEOSC 5c call

Proposal summary

FAIR uptake and compliance in all scientific communities

• Coordinate initiatives across member states and associated countries

• Develop and implement measures on FAIR data policies

• Support organisation and participation on FAIR uptake and compliance

• Support the co-development and implementation of standards for data management and of certification schemes for data repositories

• Organise FAIR competence centers for different thematic areas and disciplines not supported by other initiatives

• Address the establishment of a European data science competence framework to include in academic curricula

Workpackages

1. Management and sustainability

2. FAIR data standards

3. FAIR RDM

4. FAIR certification

5. Engagement & Communication and Uptake

6. Training and Competence centers

7. FAIR Data Science

Core group

• Data Archiving and Networked services (DANS) – Coordinator, WP 1, WP 4

• Finnish IT Center for Science (CSC) – WP 2

• Digital Curation Center (DCC) - WP 3

• Trust-IT - WP 5

• Science & Technology Facilities Council (STFC) - WP 6

• European University Association (EUA) - WP 7

Strategic cooperation with RDA, CODATA WDS, GO-FAIR, the ESFRI-clusters

…and other partners

Context

• Deadline June 19, 2018

• Budget: 10 million EUR

• Alignment with call for EOSC governance (INFRAEOSC 5a)

• Collaboration with a wide range (global) relevant projects

FAIR in the EOSC Implementation Roadmap

“Data infrastructures would operate in the EOSC according to FAIR data principles and seek to become FAIR-accredited/certified entities”

Milestones:

• Q3 2018: FAIR data Action Plan published (FAIR

Data Expert Group)

• Q2 2019: European framework for FAIR research

data agreed

• Q42019: FAIR certification scheme available

FAIR Standards

Objectives: Monitor, develop & harmonize FAIR standards for metadata schemas, vocabularies, protocols, and ontologies

• Landscape analysis• FAIR semantics• FAIR repositories• FAIR services•

Landscape analysis

• Review the current state of the art regarding the implementation of FAIR practices within all (?) European members states and research communities, as well as global initiatives.

• Document the different guidelines and tools that are being used to make data FAIR across the stakeholders

• Identify commonalities, differences, and gaps across these stakeholders in terms of standards, vocabularies and ontologies.

• Compile a FAIR standards roadmap, that keeps track of technical development, but also pushes forward the missing standard work, in collaboration with relevant foras (such as RDA, Go-FAIR, and the FAIR Data Expert Group)

FAIR Semantics

• Support and further develop the emerging work around the creation of FAIR semantic resources (i.e. controlled vocabularies and ontologies)

• Develop a pluri-disciplinary registry of vocabularies to support FAIR implementations and to assess the FAIRness of vocabularies and their supporting services

• Address the question of interoperability of the semantic resources both at the metadata and the API level and the discoverability of these resources.

• Propose ways to further align standards and practices and provide a set of good practices for knowledge engineers.

FAIR Semantics

• Support the “FAIRification” of repositories by extending repositories interfaces to comply with FAIR practical guidelines such as e.g. FAIR data point specifications proposed by GO-FAIR – but not only

• Organise pilot with repositories selected in the course of the project (through an open call)

FAIR Services

• Investigate the possibility to extend the FAIR concept currently applied to data to IT services.

• Propose a framework for discussing and further develop the concept of FAIR services and set a series of recommendations for making services FAIR or to further enable services to make data FAIR

FAIR and EOSC-Hub

• Objective: Provide an access channel to research data infrastructure services

• 100 partners, 76 beneficiaries• Mobilises providers from 20

digital research infrastructures (EGI, EUDAT, ESFRIs, etc.)

• Above 40 services initially involved

14

FAIR Data

Findable

Data has rich metadata,

specifies data identifiers,

has a globally unique

persistent identifier and is

registered and/or indexed in

searchable resources

Accessible Interoperable Reusable

Data is retrievable via their

identifier, via standard

protocols, protocols are open,

free and universally

implementable, allows

authentication and

authorization where

necessary and metadata are

kept accessible when data is

no longer available

Data has formal, accessible,

shared and broadly applicable

knowledge representation,

use vocabularies that flow

FAIR principles and include

qualified references to other

(meta)data

Data has plurality of accurate

and relevant attributes, is

released with clear and

accessible data usage license,

has associated provenance and

meets domain-relevant

community standards

15

• Findable- Discovering scientific products, services and resources

• Accessible- Enabling access to scientific resources and services

• Interoperable- Integrating and maintaining relevant services according to a defined

standards roadmap

• Reusable- Managing and preserving data (raw data, metadata, software, scientific

products, annotation)

EOSC-hub Support to FAIR

16

EOSC-hub service catalogue mapping to FAIR

Service F A I R

B2Handle X X X

B2Find X X X

Marketplace X X X

Application Database X

B2SHARE X X X X

B2DROP X

DataHub X X X X

European Trusted Digital

Repositories

X X X X

Findable Accessible Interoperable Reusable

Service F A I R

Federated AAI X

B2SAFE X

B2NOTE X X

Federated Cloud/HTC

Jupyter Notebook

Applications on Demand

Workflow Management and

orchestration

Sensitive Data Services

Introduction to the European Open Science Cloud

Juan BicarreguiCo-ordinator EOSCpilot

@eoscpilot

#EOSC#EOSCForum

Introduction

• Motivation for EOSC• A Decade of Policy• The Innovation Lifecycle• How to get there from here

• High level overview of EOSCpilot• Project Aims and Objectives• Project Challenges• Workpackages• How to get there from here

www.eoscpilot.euThe European Open Science Cloud for Research pilot project is funded by the European Commission, DG

Research & Innovation under contract no. 73956325

A Decade of Policy 2006-2016

2006, OECDRecommendation on Access to Research Data from Public Funding.

2007, ECRecommendation on access to and preservation of scientific information

2007, EC, Communication and Conclusions on scientific information in the digital age

2010, HLEG on Scientific DataRiding the wave: How Europe can gain from the rising tide of scientific data

2011, G8+5Global Research Infrastructure Group on Data

2012, ECRecommendation on access to and preservation of scientific information

2013, G8 Ministerial Communiqué “… [publically funded] scientific research data should be open…”

2015, G7 Ministerial Communiqué, October“…accomplish an effective open-data science environment...”

2016, ECCommunication on European Cloud Initiatives



G7 Ministerial CommuniquéBerlin Oct 2015

• Neglected tropical diseases

• Future of the Seas and Oceans

• Global Research Infrastructures (GRIs)

• “…[4 items about Global (physical) Research Infrastructures]…

• Further progress on sharing and managing scientific data and information should be achieved, especially by continuing engagement with community based activities such as the Research Data Alliance RDA.

• We encourage the GSO to continue their work on convergence and alignment of inter-operable data management that could accomplish an effective open-data science environment at the G7 level and beyond.”

• Clean Energy



ECI Communication (2016)

To develop EOSC it will be necessary to:

• Make all scientific data produced by the Horizon 2020 programme open by default.

• Raise awareness and change incentive structures for academics industry and public services to share their data.

• Develop specification for interoperability and data sharing across disciplines and infrastructures

• Create a fit-for-purpose pan-European governance structure to federate scientific data infrastructures and overcome fragmentation.

• Develop cloud based services for Open science supported by the necessary data infrastructure

• Enlarge the scientific user base to researchers and innovators from all disciplines.



The INFRAEOSC Programme

Also Thematic Clouds



Creation Collection

Capacity

Computation

Curation

Collaboration Communication

The Innovation Lifecycle

The 7 C’s

Open Access

Open Data

Open ScienceOpen Science CloudCreation Collection

Capacity

Computation

Curation

Collaboration Communication

The Innovation Lifecycle

Open Science Cloud

Creation Collection

Capacity

Computation

Curation

Collaboration and Communication

Collaboration and

Communication

Existing Horizontal and Vertical infrastructures

Domain and National Specific research infrastructures

Interdomain e-infrastructures



Greater sharing of Resources and Data

across RIs and eIs

Integrated Horizontal and Vertical provision

Inter-domain Catalogue of Services



Domain and National Specific research infrastructures

Introduction


• High level overview of EOSCpilot• Project Aims and Objectives• Project Challenges• Work breakdown: Workpackages etc.• How to get there from here



EOSCpilot: High Level Aims

The EOSCpilot project will support the first phase of development of EOSC:

• Engage with a broad range of stakeholders, crossing borders and communities, to build the trust and skills required for adoption of an open approach to scientific research

• Develop a number of demonstrators functioning as high-profile pilots that integrate services and infrastructures to show interoperability and its benefits in a number of scientific domains

• Establish the governance framework for the EOSC and contribute to the development of European open science policy and best practice



Aims

Objectives

• It will establish the governance framework for the EOSC and contribute to the development of European open science policy and best practice;

• It will develop a number of pilots that integrate services and infrastructures to demonstrate interoperability in a number of scientific domains; and

• It will engage with a broad range of stakeholders, crossing borders and communities, to build the trust and skills required for adoption of an open approach to scientific research

Impact

• Reduce fragmentation between data infrastructures by working across scientific and economic domains, countries and governance models; and

• Improve interoperability between data infrastructures by demonstrating how data and resources can be shared even when they are large and complex and in varied formats



• Technical Challenges: developing technical solutions that meet the scientific needs

EOSCpilot Challenges

Scientific Challenges are really Opportunities

Technical Challenges are Barriers to overcome

Cultural Challenges are also Barriers

• Scientific Challenges: deploying the EOSC to deliver Open Science

•Cultural Challenges: adopting new, more open ways of working

Three types of challenges:



• Scientific Challenges – Needs and provision• What do research communities need from an “Open Data Science Environment”?

• Technical Challenges - Services and integration• How can EOSC deliver integrated services that are relevant to community needs?

• Cultural Challenges 1 – Skills and engagement • What changes are needed in capability and practices?

• Cultural Challenges 2 - Governance and policy• How should provision be overseen to maximize benefit?



Motivation and HL introduction

Workpackage Challenges

WP 2-3

WP 5-6

WP 4

WP 7-8



Workpackage Level Objectives

Science Demonstrators Objective

• To develop a number of Science Demonstrators … to drive the development of the EOSC.

Services Objective

• To create a number of EOSC pilot services that federate data, infrastructure and services …

Interoperability Objective

• To define and implement specifications, interfaces, standards and processes that …underpin interoperability and sharing …

Governance Objective

• To design and trial a stakeholder-driven governance framework …

Policy Objective.

• To establish the policy environment required for the effective operation…

Skills Objective.

• To develop common standards and assessment frameworks to ensure …

Community Engagement Objective.

• To identify and bring together … the major groups of stakeholders …

WP 2-3

WP 5-6

WP 4

WP 7-8



The INFRAEOSC Programme

Also Thematic Clouds



Introduction


• High level overview of EOSCpilot• Project Aims and Objectives• Project Challenges• Workpackages• How to get there from here



Presentation of project

Questions



Documents

FAIRsFAIR - Platform of National eScience Centers in EuropeFAIR uptake and compliance in all scientific communities •Coordinate initiatives across member states and associated countries