ENVRIplus is an EU Horizon 2020 project coordinated by the ICOS Head Office under the University of Helsinki. ICOS ERIC will take over the coordination in the future. The project brings together Environmental and Earth System Research Infrastructures, projects and networks together with technical specialist partners to create a more coherent, interdisciplinary and interoperable cluster of Environmental Research Infrastructures across Europe. Visit ENVRIplus website
ICOS ERIC is coordinating an EU Horizon 2020 project RINGO which aims to further develop and foster sustainability of the ICOS RI and the ICOS ERIC. The project includes developing of the KPIs for measuring the success of the ICOS RI. Indicators will play an important role in supporting the evaluation of the impact and results of the entire RI as well as ERIC. Readiness of ICOS RI is further developed via scientific, technical and managerial progress and by deepening the integration into global observation and data integration systems.
EUDAT, led by CSC Finland, is the largest data infrastructure initiative funded by the European Commission under Horizon 2020. EUDAT is working towards the establishment of pan-European and cross-disciplinary solutions to manage research data. ICOS RI participates the project through Carbon Portal.
RISCAPE is an EU Horizon 2020 project including 11 European research institutes in multidisciplinary fields. The project aims to provide systematic, focused, high quality, comprehensive, consistent and peer-reviewed international landscape analysis report on the position and complementarities of the major European research infrastructures in a global context. ICOS ERIC is representing the environmental sector and will be mapping and analysing the landscape of global environmental research infrastructures.
SEACRIFOG is an EU Horizon2020 project which aims to improve coherence and to increase the exchange and use of information between research infrastructures in Europe and Africa, as well as to enhance technical competence, science awareness and life-long learning in Africa. The project will include identifying the parameters needed to develop science-based strategies to improve food and nutrition security including early warning systems and to mitigate climate change.
EOSCpilot will support the first phase in the development of the European Open Science Cloud (EOSC). The project will improve the ability to reuse data resources and provide an important step towards building a dependable open-data research environment where data from publicly funded research is always open and clear incentives and rewards for the sharing of data and resources exist. ICOS ERIC will contribute to the governance, policy and EOSC interoperability work packages.
DANUBIUS-PP is an EU Horizon 2020 project to raise DANUBIUS-RI (International Centre for Advanced Studies on River-Sea Systems) to the legal, financial and technical maturity required for successful implementation and development. ICOS ERIC will contribute to project management and coordination, architecture, capacity building, and dissemination and communication work packages.
ENVRI was a project focusing on the implementation of common solutions for a cluster of ESFRI infrastructures in the field of "Environmental Sciences". ICOS RI was participating the ENVRI as one case study. ENVRIplus, started in May 2015, builds on the ENVRI project.
The project brought together the Europe’s major research infrastructures in environmental sciences; EISCAT, EPOS, LifeWATCH, EMSO, and ICOS, with parallel research infrastructure projects in the US; the NSF funded projects; AMISR, EARTHSCOPE, DataONE, OOI and NEON. The project developed measurements interoperability, reducing their uncertainty and stimulating future common EU-US research activities.
The project developed new tools to improve European and global monitoring of greenhouse gas (GHG) concentrations and fluxes. It has enabled the provision of GHG data by merging new, in-situ GHG observations and surface remote sensing to validate satellite retrievals and data assimilation results.