Sisältö, joissa tagi Tags.

High-Performance Digitisation

High-Performance Digitisation initiative creates an intelligent annotation pipeline and a corresponding service for processing and enriching archived material, such as scanned newspapers, books and official documents. This material is digitised in large scale but the usability of the archives could and should be much higher. The new pipeline runs in a supercomputing environment and uses high-performance GPU accelerated machine learning methods for computer vision and artificial intelligence based annotation.

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Advanced Computing
INEA
H2020
Project archive

EU-OPENSCREEN – The European Infrastructure of Open Screening Platforms for Chemical Biology

EU-OPENSCREEN (The European Infrastructure of Open Screening Platforms for Chemical Biology) aims to provide a state-of-the-art open infrastructures and technologies to develop new bioactive small molecules. This supports for example drug research and also promotes basic research widely in the biosciences. EU-OPENSCREEN is included in the European Strategy Forum on Research Infrastructures (ESFRI) roadmap.

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Academy of Finland
H2020
Project archive

SeaDataCloud

SeaDataNet connects together more than 100 data centres aiming at preserving and making re-useable marine observations ranging from ocean physics to chemistry and biology. It provides a standardized infrastructure for managing the large and diverse data sets collected by the oceanographic fleets and the automatic observation systems. The SeaDataNet infrastructure networks and enhances the currently existing infrastructures, which are the national oceanographic data centres or data focal points of 34 countries, active in data collection. The networking of these professional data centres, in a unique virtual data management system provide integrated data sets of standardized quality on-line.

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Research Data Management
H2020
Project archive

RDA – Research Data Alliance

The Research Data Alliance (RDA) is a global bottom-up initiative building the technical and social bridges for data sharing and exchange, to address grand challenges and accelerate data driven innovation worldwide.

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Open Scholarship
H2020
Project archive

PRACE – the Partnership for Advanced Computing in Europe

PRACE (Partnership for Advanced Computing in Europe) is the European high performance computing (HPC) infrastructure. PRACE has 25 members, representing European Union Member States and Associated Countries. PRACE hosts the leading-edge HPC systems in Europe (Tier-0 systems). CSC represents Finland in the PRACE projects, and provides a seamless route to the Tier-0 resources for Finnish researchers.

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Advanced Computing
H2020
Membership fees
Project archive

HPC-GIG (HPC Governance Intelligence Gathering)

HPC-GIG project (HPC Governance Intelligence Gathering) will provide intelligence gathering from the European HPC stakeholders for the Governance of the Euro High-Performance Computing Joint Undertaking (EuroHPC JU).

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H2020
Project archive

HPC-Europa3 – Pan-European Research Infrastructure on High Performance Computing

HPC-Europa3 is an EC-funded programme which allows researchers to carry out short "transnational access" visits to other countries to collaborate with a research department working in a similar field. During visits HPCE3 provides access to some of the most powerful computers in Europe.

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Advanced Computing
Open Scholarship
H2020
Project archive

EISCAT_3D

The EISCAT_3D incoherent scatter radar is a major step forward in Finnish scientific research on near-Earth space and climate. The system can be used to obtain new data on, for example, how solar storms and space weather affect the upper atmosphere in the Arctic region or how interference caused by space weather affects technological systems, such as satellites and power grids.

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Academy of Finland
H2020
Project archive

EOSC – European Open Science Cloud

The European Open Science Cloud (EOSC).is an ambitious programme of the EU to provide a virtual environment with open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines by federating existing scientific data infrastructures, currently dispersed across disciplines and the EU Member States.

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Research with Sensitive Data
Research Data Management
Open Scholarship
Advanced Computing
EUDAT CDI
H2020
Project archive

E-CAM – European HPC Centre of Excellence

The E-CAM (European HPC Centre of Excellence) is an e-infrastructure for software development, training, and industrial discussion in simulation and modelling. The E-CAM project focuses on four scientific areas of interest to computational scientists: Classical Molecular Dynamics, Electronic Structure, Quantum Dynamics, Meso- and Multi-Scale Modelling.

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Advanced Computing
H2020
Project archive

EOSC-Nordic

EOSC-Nordic aims to facilitate the coordination of EOSC (European Open Science Cloud) relevant initiatives within the Nordic and Baltic countries and exploit synergies to achieve greater harmonisation at policy and service provisioning across these countries, in compliance with EOSC agreed standards and practices. By doing so, the project seeks to establish the Nordic and Baltic countries as frontrunners in the take-up of the EOSC concept, principles and approach.

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H2020
Research Data Management

ELIXIR-EXCELERATE – European life science infrastructure for biological information

EXCELERATE funding will help ELIXIR coordinate and extend national and international data resources to ensure the delivery of world-leading life-science data services. It will support a pan-European training programme, anchored in national infrastructures, to increase bioinformatics capacity and competency

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Services for Biomedical Research
Research with Sensitive Data
H2020
ELIXIR-FI
Project archive

EOSC-Life

EOSC-Life intends to implements the Life Science part of the European Open Science Cloud under coordination of ELIXIR, European infrastructure for Life Science Information.

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H2020
ELIXIR-FI

CORBEL – Coordinated Research Infrastructures Building Enduring Life-science Services

The CORBEL project will develop the tools, services and data management required by cutting-edge European research projects in life-sciences, and the objective of the project is to create a pan-European research infrastructure for biological information. The project started in September 2015, and it will build on existing efforts within the BioMedBridges project. The project is coordinated by ELIXIR.

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Services for Biomedical Research
Research with Sensitive Data
H2020
ELIXIR-FI
Project archive

ENVRIplus – Common Operations of Environmental Research Infrastructures

The ENVRIplus (Common Operations of Environmental Research Infrastructures) project will enhance collaboration and interoperability in the environmental sciences. The project has 37 partners representing 21 different research infrastructures from all over Europe. The project is coordinated by ICOS head office located in Helsinki.

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H2020
EUDAT CDI
Environmental science e-infrastucture
Project archive

AARC – the Authentication and Authorisation for Research and Collaboration

The AARC2 (the Authentication and Authorisation for Research and Collaboration) project will improve the adoption of federated access among different communities and help to avoid a future in which different e-infrastructures and research collaborations develop and operate independent AAIs. The AARC2 project is continuation to the first AARC project which ended in 2017.

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H2020
ELIXIR-FI
Project archive

EOSC pilot

The European Open Science Cloud for Research Pilot (EOSCpilot) is a two year project (2017–2018) which aims to establish the governance framework for the EOSC, and demonstrate its feasibility through a number of pilots that integrate services and infrastructures across different scientific domains. The project engages 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.

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Research with Sensitive Data
Project archive
Research Data Management
Open Scholarship
H2020
Advanced Computing

NOMAD – Novel Materials Discovery

The NOMAD (Novel Materials Discovery) project develops "big-data analytics" for materials science. Essentially every new commercial product, be they smart phones, solar cells, batteries, transport technology, artificial hips, etc., depends on improved or even novel materials. Computational materials science is increasingly influential as a method to identify such critical materials for both R&D.

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Advanced Computing
H2020
Project archive