The Authentication and Authorisation for Research and Collaboration (AARC) initiative was first launched in May 2015 to address the increased need for federated access and for authentication and authorisation mechanisms by research and e-infrastructures.
Running for two years, AARC was funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 653965.
A second phase of the project (AARC2) started in May 2017 to continue to develop and pilot an integrated cross-discipline authentication and authorisation framework, building on existing authentication and authorisation infrastructures (AAIs).
AARC2 is funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 730941.
Proyectos Explora Ciencia y Explora Tecnología
COOP+ Promoting collaboration among RIS
The general objective is to analyse how to address cross-disciplinary Global challenges in environmental sciences by joining the data and know-how resources of international Research Infrastructures in collaboration
COOPEUS (Strengthening the cooperation between the US and the EU in the field of environmental research infrastructures. Grant Agreement number: CSA-312118).
Developing world-class research infrastructures for environmental research is one of the top priorities of European authorities. This proposal brings together scientists and users being involved in Europe’s major environmental related research infrastructure projects, i.e. EISCAT, EPOS, LifeWATCH, EMSO, and ICOS, with their US counterparts that are responsible for the NSF funded projects AMISR, EARTHSCOPE, DataONE, OOI and NEON. The intention is that by interlinking these ac…
COS4CLOUD (Co-designed citizen observatories for the EOS-Cloud) aims to design prototyped and implemented services that address the Open Science challenges shared by Citizen observatories of biodiversity, based on the experience of platforms like: Artportalen, Natusfera, iSpot, as well as other environmental quality monitoring platforms like: FreshWater Watch, KdUINO, OdourCollect, iSpex and CanAir.io.
The innovative services will be designed, prototyped and implemented for improving the data and information quality using deep machine learning, automatic video recognition, advanced mobile app interfaces, and other cutting-edge technologies, based on data models and data protocols validated by traditional science. The new services will provide mechanisms to ensure the visibility and recognition of data contributors and the tools to improve networking between various stakeholders. Novel innovative digital services will be developed through the integration of CS products, generated by different providers, following open standards to ensure their interoperability, and offered in agile, fit-for-purpose and sustainable site available through EOSC hub, including a discovery service, to both traditional and citizen scientists.
The design of new services will be user oriented, engaging a wide range of stakeholders in society, government, industry, academia, agencies, and research to co-design service requirements. As a result, COS4CLOUD will integrate citizen science in the European Open Science Cloud, bringing Citizen Science (CS) projects as a service for the scientific community and society at large.
The Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud (DEEP-Hybrid-DataCloud) is project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435. The key concept proposed in the DEEP-Hybrid-DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure.
We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams . These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future
DORII - Deployment of Remote Infrastructure
EGI-Engage (Engaging the EGI Community towards an Open Science Commons. Grant Agreement number 654142) and EGI-InSPIRE (Integrated Sustainable Pan-European Infrastructure for Researchers in Europe. Grant Agreement number RI-261323).
EGI-Engage will accelerate advancements across the EGI Infrastructure in strategy, policy, business and technical innovation, user engagement towards researchers within the long-tail of science, domain-specific research communities, Research Infrastructures (RIs) within the ESFRI roadmap, as well as SMEs and industry at large.
EGI InSPIRE - Integrated Sustainable Pan-European Infrastructure for Researchers in Europe
EMI is a collaboration of the three major middleware providers in Europe, ARC, gLite and UNICORE, and other consortia. It aims to deliver a consolidated set of middleware components for deployment in EGI, PRACE and other DCIs; extend the interoperability between grids and other computing infrastructures; strengthen the reliability of the services; and establish a sustainable model to maintain and evolve the middleware, fulfilling the requirements of the user communities.
The EOSC-hub project brings together multiple service providers to create the Hub: a single contact point for European researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. For researchers, this will mean a broader access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries.
The project mobilises providers from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and other major European research infrastructures to deliver a common catalogue of research data, services and software for research. EOSC-hub collaborates closely with GÉANT and the EOSCpilot and OpenAIRE-Advance projects to deliver a consistent service offer for research communities across Europe.
EOSC-hub is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement 777536. The generous EU funding received by the project is complemented with a contribution from the EGI Foundation and its participants, and in-kind contributions made available by service providers of the EGI Federation.
EUFORIA (EU Fusion fOR Iter Applications) is a project funded by European Union under the Seventh Framework Programme (FP7) which will provide a comprehensive framework and infrastructure for core and edge transport and turbulence simulation, linking grid and High Performance Computing (HPC), to the fusion modelling community.
The eXtreme DataCloud (XDC) is a EU H2020 funded project under grant agreement 777367, aimed at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The services provided will be capable of operating at the unprecedented scale required by the most demanding, data intensive, research experiments in Europe and Worldwide.
XDC will be based on existing tools, whose technical maturity is proved and that the project will enrich with new functionalities and plugins already available as prototypes (TRL6+) that will be brought at the production level (TRL8+) at end of XDC.
The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrastructure (EGI), the Worldwide LHC Computing Grid (WLCG) and the computing infrastructures funded by other public and academic initiatives.
All the developments will be community-driven and tested against real life use cases provided by the consortium partners representing research communities belonging to a variety of scientific domains: Life Science, Astrophysics, High Energy Physics, Photon Science and Clinical Research.
The XDC project aims at opening new possibilities to scientific research communities in Europe and worldwide by supporting the evolution of e-Infrastructure services for Exascale data resources. The XDC software will be released as Open Source platforms available for general exploitation.
INDIGO-DataCloud (INtegrating Distributed data Infrastructures for Global ExplOitation. Grant Agreement number RIA 653549).
The INDIGO-DataCloud project (INDIGO for short) aims at developing a data/computing platform targeted at scientific communities, deployable on multiple hardware, and provisioned over hybrid (private or public) e-infrastructures. This platform will be built by leading European developers, resource providers, e-infrastructures and scientific communities in order to ensure its successful exploitation and sustainability.
EOSC Future responds to INFRAEOSC-03-2020 call in order to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSC-Exchange of the European Open Science Cloud (EOSC).
EOSC Future is structured around six thematic pillars that strategically group the work package tasks and activities and coherently present the key objectives and activities of the project to stakeholders: Pillar 1 on Policy & Strategy will coordinate and support a strategic vision for the future EOSC; Pillar 2 on Connection & Integration will connect and integrate EOSC infrastructures, data, and services; Pillar 3 on Excellent Science & Interdisciplinarity will extend the EOSC value Chain with scientific use cases; Pillar 4 on Growth & Innovation will grow and innovate EOSC with value-added services; Pillar 5 on Skills & Training will train users and providers of the EOSC ecosystem; and Pillar 6 on Engagement & Communications will engage the wider EOSC Community at a global level.
Duration : from 01-04-2021 to 30-09-2023
EU Contribution : EUR 40 894 051,25
EGI-ACE is a project coordinated by the EGI Foundation with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive research through free-at-point-of-use services.
Building on the distributed computing integration in the EOSC-hub project, EGI-ACE will deliver the EOSC Compute Platform and will contribute to the EOSC Data Commons through a federation of cloud compute and storage facilities, PaaS services and data spaces with analytics tools and federated access services.
The consortium of the project builds on the expertise and assets of the EGI federation members, key research communities, data providers and collaborating initiatives.
EGI-ACE’s main goal is to implement the compute platform of the European Open Science Cloud and contribute to the EOSC Data Commons by delivering integrated computing platforms, data spaces and tools as an integrated solution that is aligned with major European cloud federation projects and HPC initiatives.
Investigación interdisciplinar sobre terminología, temáticas y comunicación de la ciencia.
Proyecto intramural del CSIC que se plantea el análisis del corpus completo de noticias sobre COVID19 publicadas por The Conversation (en español) con seis objetivos fundamentales:
- Estudiar el lenguaje y especialmente la terminología utilizada en la comunicación sobre COVID19. Representar la “nueva terminología” y los conceptos asociados mediante herramientas de la web semántica, que supongan aportar conocimiento estructurado y sólido a la nube de datos lingüísticos. Para ello se procederá a la extracción de términos del corpus mediante herramientas ya entrenadas, se convertirán a RDF y se enriquecerán con relaciones jerárquicas y de dominio, de forma que el resultado sea una terminología semánticamente enriquecida.
- Cartografiar los temas tratados y crear una ontología que permita observar la presencia e interrelación entre las distintas disciplinas científicas. Se examinarán con especial atención la perspectiva y las aportaciones desde las Humanidades y las Ciencias Sociales.
- Estudiar el discurso y la argumentación a través de dos estudios de caso, mediante el trabajo con especialistas y el apoyo en tecnologías semánticas.
- Obtener la red de especialistas en COVID19 y su relación con los distintos temas, aplicando metodologías de supercomputación y creando así un conjunto de datos (dataset) que siga los principios FAIR de ciencia abierta.
- Estudiar el ciclo de vida de la información científica, comenzando desde las fuentes originales citadas hasta su posible repercusión e impacto.
- Examinar las innovaciones producidas en la comunicación científica y darlas a conocer entre estructuras editoriales, instituciones de investigación e instituciones de política científica.
Para abordar estos objetivos se ha constituido un equipo multidisciplinar, que ya trabaja conjuntamente en el marco de la Plataforma Temática Interdisciplinar del CSIC ES CIENCIA, sobre el español como lengua de comunicación científica. En el equipo hay especialistas en Lexicografía, Terminología, Lingüística Computacional, Tecnologías semánticas, Humanidades Digitales, Edición Académica y Estudios Sociales de la Ciencia.