Comunidades Científicas

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.

Instruct es la infraestructura europea de investigación en biología estructural. Es una de las 48 que forman parte de la hoja de ruta del Foro Estratégico Europeo para las Infraestructuras de Investigación (ESFRI, en sus siglas en inglés). Estas grandes infraestructuras científicas internacionales constituyen la columna vertebral del Espacio Europeo de Investigación y son motor del desarrollo económico de los países involucrados en su construcción, favoreciendo la creación de economías más competitivas e impulsando la recuperación económica en momentos de crisis.
España participa en INSTRUCT-ERIC a través del Centro Nacional de Biotecnología (CNB), perteneciente al Consejo Superior de Investigaciones Científicas (CSIC), con el Proyecto I2PC (Instruct Image Processing Center). Se trata de la única contribución española a la infraestructura INSTRUCT-ERIC y es un compromiso de Gobierno, a través del Ministerio de Ciencia, Innovación y Universidades.
La Unidad de Biocomputación y el Centro de Procesamiento de la Imagen del CNB apoyan a los biólogos estructurales mediante varias líneas de actuación:
a) Proporcionando soporte personalizado para el procesamiento de imágenes de microscopía electrónica o de rayos X.
b) Promoviendo normas orientadas hacia la estandarización, simplificación y fiabilidad en el procesamiento de imágenes.
c) Desarrollando el software Scipion, que permite el procesamiento completo de las imágenes del microscopio hasta la obtención de los mapas 3D de representación de las estructuras moleculares.
Realizando cursos de capacitación tanto para usuarios de Scipion como para desarrolladores.

EOSC-Life brings together the 13 Biological and Medical ESFRI research infrastructures (BMS RIs) to create an open collaborative space for digital biology. It is our joint response to the challenge of analysing and reusing the prodigious amounts of data produced by life-science. Managing and integrating this data is beyond the capabilities of most individual end-users and institutes. By publishing data and tools in a Europe-wide cloud EOSC-Life aims to bring the capabilities of big science projects to the wider research community. Federated user access (AAI) will allow transnational resource access and authorisation. EOSC-Life establishes a novel access model for the BMS RI: through EOSC scientists would gain direct access to FAIR data and tools in a cloud environment available throughout the European Research Area.
EOSC-Life will make BMS RIs data resources FAIR and publish them in the EOSC following guidelines and standards (e.g. EDMI). Overall this will drive the evolution of the RI repository infrastructure for EOSC and integration of the BMS RI repositories. EOSC-Life will implement workflows that cross disciplines and RI boundaries and address the needs of interdisciplinary science. Through open hackathons and bring-your-own-data events we will co-create EOSC-Life with our user communities , providing a blueprint for how the EOSC supports wide-spread and excellent data-driven life science research. EOSC-Life will address the data policies needed for human research data under GDPR. Interoperable provenance information describe history of sample and data to ensure reproducibility and adherence to regulatory requirements.
The goal of the EOSC-Life project is to make sure that life-scientists can find, access and integrate life-science data for analysis and reuse in academic and industrial research. EOSC-Life will transform European life-science by providing an open, continent-scale, collaborative and interdisciplinary environment for data science.

PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up, based on the use of novel imaging biomarkers, in-silico tumour growth simulation, advanced visualisation of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points.
PRIMAGE implements a hybrid cloud model, comprising the of use of open public cloud (based on EOSC services) and private clouds, enabling use by the scientific community (facilitating reuse of de-identified clinical curated data in Open Science) and also suitable for future commercial exploitation.
The proposed data infrastructures, imaging biomarkers and models for in-silico medicine research will be validated in the application context of two paediatric cancers, Neuroblastoma (NB, the most frequent solid cancer of early childhood) and the Diffuse Intrinsic Pontine Glioma (DIPG, the leading cause of brain tumour-related death in children). These two paediatric cancers are relevant validation cases given their representativeness of cancer disease, and their high societal impact, as they affect the most vulnerable and loved family members.
The European Society for Paediatric Oncology, two Imaging Biobanks and three of the most prominent European Paediatric oncology units are partners in this project, making retrospective clinical data (imaging, clinical, molecular and genetics) registries accessible to PRIMAGE, for training of machine learning algorithms and testing of the in-silico tools´ performance. Solutions to streamline and secure the data pseudonymisation, extraction, structuring, quality control and storage processes, will be implemented and validated also for use on prospective data, contributing European shared data infrastructures.

EOSC-SYNERGY has identified ten thematic services addressing four scientific areas (Earth Observation, Environment Biomedicine and Astrophysics). Those thematic services are heterogeneous, addressing a wider range of requirements, maturity level, user targets and usage models. In the area of Earth Observation, services address the monitoring of coastal changes and inundations, the processing of satellite image data and the estimation of forest mass, addressing different types of targets. In Environment, the thematic service cover the monitoring and protection of ozone, the forecast of sand and dust storms, the simulation of water network distribution and untargeted mass-spectrometry analysis for toxics. In Astrophysics, the project aims at setting up an European service for the Latin American Giant Observatory and in biomedicine EOSC-SYNERGY covers the benchmarking of Genomic data processing tools and the processing of Cyron-electron microscopy imaging.