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EUROSCIENCEGATEWAY


PROJECT SUMMARY

In the past decade, many scientific domains have been transformed into
data-driven disciplines relying on the exchange and integration of
internationally distributed data. Exploiting this data is still a laborious and
largely manual task, prone to losses and errors, and increasingly specialized
beyond most users technical capabilities. FAIR practices are encouraged but
their adoption curve is steep. The needs for compute and data resources, tools,
and application platforms are often domain-specific.

Many scientists struggle to navigate this intricate ecosystem. Generally,
researchers do not possess the computing skills to effectively use the HPC or
Cloud platforms they need. Thus, new approaches are needed to enable all
researchers, with widely ranging digital skills, to efficiently use the diverse
computational infrastructures available across Europe, for asynchronous and for
interactive applications.

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EuroScienceGateway will leverage a distributed computing network across 13
European countries, accessible via 6 national, user-friendly web portals,
facilitating access to compute and storage infrastructures across Europe as well
as to data, tools, workflows and services that can be customized to suit
researchers’ needs. At the heart of the proposal workflows will integrate with
the EOSC-Core. Adoption, development and implementation of technologies to
interoperate across services, will allow researchers to produce high-quality
FAIR data, available to all in EOSC. Communities across disciplines -- Life
Sciences, Climate and Biodiversity, Astrophysics, Materials science -- will
demonstrate the bridge from EOSC's technical services to scientific analysis.

EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open
infrastructure for data-driven research, contributing an innovative and
customizable service for EOSC that enables operational open and FAIR data and
data processing, empowering European researchers to embrace the new digital age
of science.


OBJECTIVES


OBJECTIVE 1

Accessible e-Infrastructure resources for European scientists to enable
pioneering data-driven research across scientific domains.


OBJECTIVE 2

Support the varieties of analysis types and diverse usage patterns through
efficient and smart job distribution to appropriate and sustainable
infrastructures.


OBJECTIVE 3

The application of FAIR principles to workflows and adoption of FAIR Digital
Objects to stimulate reusable and reproducible research and enable the EOSC
Interoperability Framework.


OBJECTIVE 4

Adoption of the EuroScienceGateway by researchers in diverse scientific
disciplines.


PROJECTS PART OF ESG




WORK PACKAGES



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WORK PACKAGES

EuroScienceGateway is organized into multiple work packages, each with it's own
focus.


WORK PACKAGE 1

Project Management, Coordination and Dissemination. - News


WORK PACKAGE 2

Stimulate FAIR and reusable research. - News


WORK PACKAGE 3

Pulsar Network: Distributed heterogeneous compute. - News


WORK PACKAGE 4

Building blocks for a sustainable operating model. - News


WORK PACKAGE 5

Community engagement, adoption and onboarding. - News

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EXPECTED RESULTS


PULSAR NETWORK

A mature and tested (TRL-9) distributed compute network with demonstrated usage
across at least 12 European partners.


SCIENCEGATEWAYS

6 national Galaxy instances operational and proven by the scientific community
with more than 100,000 users.


COMMUNITIES

Science Gateway with a custom set of tools and workflows for the
Biodiversity/Climate, Materials Science and Astrophysics community.


FAIR DATA

EOSC-catalogued FAIR data and workflows that can be found, consumed, created and
published by users of the EuroScienceGateway, demonstrated for each of the 3
domain-specific use-cases.


TARGET GROUPS

European Scientists (direct): Access to tools, workflows, storage and compute
resources will enable breakthrough research across disciplines.

Users of public data (direct): This project will facilitate making high quality,
validated FAIR data and workflows, which is crucial for re-use by the scientific
community.

EOSC (direct): EuroScienceGateway will contribute to the adoption of e.g.
e-Infrastructures and FAIR publishing services of EOSC across domains, lowering
the barrier for cross-disciplinary research. This project will increase the use
and adoption of EOSC endorsed principles, standards and technologies, as defined
by the research infrastructures and various EOSC-related projects.

Education system (indirect): The open and accessible EuroScienceGateway can be
used to train and educate students and citizens. The ecosystem provides both
specific tools and resources for training, as well as the ability to use the
exact same system to perform research at scale.

European funding agencies (indirect): Computing resources are used more
efficiently, duplication of effort to port existing methodologies due to
infrastructure limitations will be avoided and re-use of resources and
technologies across scientific domains will be stimulated.


OUTCOMES

Communities: Onboarding of new scientific communities in the EuroScienceGateway
ecosystem, demonstrated by new users and increased usage per user, and
contribution of new tools, workflows and resources to the EuroScienceGateway.
Inclusion of the established network in proposals for innovative research
projects of multiple disciplines as well as EOSC-related infrastructure oriented
and trans-national access to research infrastructure projects.

Scientific: Transform the way scientists create, share and exploit data and
metadata (like workflows) resulting in higher quality research and more
innovation.

Resource providers: Implementation of the middleware developed in this project
by resource providers not part of the consortium.

Global: Alignment with similar American and Asia-Pacific initiatives. Building a
global network of shared resources for all scientists.


IMPACT

Scientific: The EuroScienceGateway is envisioned as an enabler of breakthrough
scientific discoveries in various scientific fields.

EOSC: Increased visibility of the European Science Cloud to end-users.

Economic/Technological: Adoption and efficient usage of resources provided by
the e-Infrastructures. Scaling of data analyses will be facilitated e.g. by
eliminating the steep learning curve to use new computational infrastructure
unfamiliar to the researchers.

Societal: Raised awareness of public academic resources/clouds and contribute to
the practical implementation of FAIR principles for data, software and
workflows.


NEWS

GPU-enabled deep learning on Galaxy

Taking advantage of Galaxy's GPU computing nodes

Galaxy for Astronomy: Integration of the FITS file format

Enabling native support and visualization of Astronomical FITS data in Galaxy

New Paper "An accessible infrastructure for artificial intelligence using a
Docker-based JupyterLab in Galaxy"

Stronger together: first FAIR-EASE and EuroScienceGateway workshop

Presenting some outcomes from the first joined FAIR-EASE / EuroScienceGateway
workshop

Joining forces in EOSC: OpenAIRE and EuroScienceGateway sign Memorandum of
Understanding

EuroScienceGateway and OpenAIRE team up to enhance accessibility and FAIRness of
scientific data from the Galaxy project.

Effortlessly navigate your Galaxy history with enhanced search options

Data searchability in the Galaxy History panel has been taken to new levels with
the advanced search options that allow users to not only find items with more
ease, but also find relations within items in their history.

More News


EVENTS

Jul 6Galaxy Community Call

A forum to share updates and discuss community-wide topics

Jul 10 - Jul 162023 Galaxy Community Conference (GCC2023)

The annual gathering of the Galaxy Community with opportunities to hear latest
developments, get training, and meet everyone involved.

Jul 14 - Jul 18International Congress of Genetics

Meeting once every 5 years, and right on the heels of GCC2023 in a nearby
location, come and check out this year's conference theme: Genetics and Genomics
- Linking Life and Society.

Jul 17 - Jul 21Workshop on High-Throughput Data Analysis with Galaxy

This course introduces scientists to the data analysis platform Galaxy. The
course is a beginner course; there is no requirement of any programming skills.

Jul 18Small Scale Galaxy Admins Meeting

More Events


TWITTER




PROJECT PARTNERS



EuroScienceGateway was funded by the European Union programme Horizon Europe
(HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK
Research and Innovation (UKRI) under the UK government’s Horizon Europe funding
guarantee grant number 10038963.

usegalaxy.org is supported by NIH and NSF Grants HG006620, 1661497, and 1929694.
usegalaxy.eu is supported by the German Federal Ministry of Education and
Research grant 031L0101C and de.NBI-epi. usegalaxy.org.au is supported by
Bioplatforms Australia and the Australian Research Data Commons.