Collections

This collection presents significant findings and outcomes from the Horizon Europe project - MAMBO (Modern Approaches to the Monitoring of Biodiversity). The project addresses the crucial need for comprehensive and unbiased biodiversity data in Europe. By developing cutting-edge monitoring tools and integrating advanced technologies, MAMBO aims to enhance our understanding of species and habitats with limited knowledge.

MAMBO brings together experts in computer science, remote sensing, social sciences, environmental economics, citizen science, species biology, ecology, and conservation biology, fostering collaboration and leveraging existing research infrastructure.

As the MAMBO project progresses, the RIO Collection will continue to expand, providing a valuable resource for researchers, policymakers, and practitioners.

This collection presents significant findings and outcomes from the Horizon Europe project - MAMBO (Modern Approaches to the Monitoring of Biodiversity). The project addresses the crucial need for comprehensive and unbiased biodiversity data in Europe. By developing cutting-edge monitoring tools and ...

Natural science collections are a treasure trove of data that are pivotal in finding solutions from and for nature; from conservation, health, minimising the degradation of natural capital and finding new sources of critical minerals, to addressing the challenges of food security, water scarcity and the impact of natural disasters.

The Distributed System of Scientific Collections (DiSSCo) is a pan-European Research Infrastructure (RI) that aims to digitally unify natural science collections - some 1.5 billion specimens - from 175 museums, botanical gardens, and universities across 23 countries in a distributed infrastructure that makes these collections physically and digitally open and accessible for all forms of research and innovation. DiSSCo’s preparatory phase ran from January 2020 to February 2023. This collection of articles highlights the major outputs of the DiSSCo Prepare project, which address five aspects of implementation readiness: the technical, scientific, data, organisational and financial readiness levels.

Natural science collections are a treasure trove of data that are pivotal in finding solutions from and for nature; from conservation, health, minimising the degradation of natural capital and finding new sources of critical minerals, to addressing the challenges of food security, water scarcity and ...

The European Union has established the European Science Open Cloud (EOSC), as the “system of systems” Infrastructure where scientists, stakeholders and other types of users can find data, analytical web services, publications, networks and other research resources to carry out their work.

The ESFRI Research Infrastructures form five thematic Science Clusters within the EOSC ecosystem: ENVRI FAIR on the Environment, EOSC Life for the Life and Biomedical Sciences, PANOSC for the Photon and Neutron, SSHOC for the Social Sciences and Humanities and ESCAPE for the Astronomy & Particle Physics. These Clusters are critical to the development of the EOSC integrated environment for the provision of the research resources, whose integration, composition and use by their communities will undoubtedly enhance the emerging EOSC infrastructure. They also provide examples of how shared projects, the Science Projects, can contribute to addressing major societal challenges for Europe and demonstrate how Research Infrastructures can align to support Horizon Europe's missions within EOSC.

This collection of articles highlights the major outputs of these EOSC Future Science Projects: their planning, implementation and the engagement of the relevant scientific community.

The European Union has established the European Science Open Cloud (EOSC), as the “system of systems” Infrastructure where scientists, stakeholders and other types of users can find data, analytical web services, publications, networks and other research resources to carry out their work.

The ESF ...

Successful management, exchange and interpretation of an ever-growing tsunami of digital information and knowledge will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and metadata. FAIR Digital Objects (FDOs) promise to provide the needed framework.

FAIR is about making data findable, accessible, interoperable and reusable both for humans and machines. FAIR digital objects have shown key capabilities to simplify and scale the use of data across domains, increase trust in data and ease the handling of high volumes of information. Now widespread consensus and collaboration is needed.

The 1st International Conference of FAIR Digital Objects brings together for the first time, key technical, scientific, industry, and science-policy stakeholders at this scale with the aim to boost the development and implementation of FDOs worldwide.

This conference collection explores two of the most urgent themes in constructing the FDO framework: research in structuring the knowledge domain and how to facilitate practical work, and practice in the design and building of FDO-consistent infrastructures.

Successful management, exchange and interpretation of an ever-growing tsunami of digital information and knowledge will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and meta ...

The BESTMAP RIO Collection will host key outputs relating to the new modelling framework the project is developing. The project’s work focuses on supporting EU policy design and monitoring, by addressing the complexity of decisions made by farmers and the wider impact of agricultural policy on natural, social and cultural assets in rural areas of Europe.

This Collection will continue to be developed further as the BESTMAP project continues to promote a sustainable future for the agriculture sector in Europe.

The BESTMAP RIO Collection will host key outputs relating to the new modelling framework the project is developing. The project’s work focuses on supporting EU policy design and monitoring, by addressing the complexity of decisions made by farmers and the wider impact of agricultural policy on natur ...