HEREDITARY aims to significantly transform the way we approach disease detection, prepare treatment response, and explore medical knowledge by building a robust, interoperable, trustworthy and secure framework that integrates multimodal health data (including genetic data) while ensuring compliance with cross-national privacy-preserving policies. The HEREDITARY framework comprises five interconnected layers, from federated data processing and semantic data integration to visual interaction. By utilizing advanced federated analytics and learning workflows, we aim to identify new risk factors and treatment responses focusing, as exploratory use cases, on neurodegenerative and gut microbiome related disorders. HEREDITARY is harmonizing and linking various sources of clinical, genomic, and environmental data on a large scale. This enables clinicians, researchers, and policymakers to understand these diseases better and develop more effective treatment strategies. HEREDITARY adheres to the citizen science paradigm to ensure that patients and the public have a primary role in guiding scientific and medical research while maintaining full control of their data. Our goal is to change the way we approach healthcare by unlocking insights that were previously impossible to obtain.

ReCoDID builds on existing infrastructures and partnerships to develop a sustainable model for the storage, curation, and analyses of the complex data sets collected by infectious disease (ID)-related cohorts. While ID cohorts collect both clinical-epidemiological (CE) and terabytes of OMICS data, storage and analysis of CE and high dimensional laboratory (HDL) data remains separate and developing the infrastructure for housing and analysing HDL data is not feasible for individual studies. In this project, we develop innovative approaches to the synthesis and analysis of CE&HDL data, and modify governance models for cloud-based repositories elaborated by and for scientists in high-income countries to meet the specific challenges of synthesizing CE&HDL data and sharing data across international cohorts and with the Open Science community. We develop data architecture and governance that link biobanks to data repositories to facilitate equitable use, collaborative, cross-domain analyses, and replicability. The team leverages partnerships with multicentre ID cohorts in the global South, and connects EU investments in OMICS infrastructures with Canadian expertise on pipeline and workflow development, biostatistical methods, and ethical and governance issues related to the establishment of repositories for CE&HDL data in resource-limited settings. Drawing from best practice and governance elaborated for similar initiatives, the repository will employ a federated model where a tiered permission system and cohort-specific hubs facilitate cohorts’ analysis of their own data, cross-cohort analyses, and connections with the open science community within a clearly elaborated legal, ethical, and equitable framework. The cloud-based platform will provide analytic tools and computational power to facilitate cross-domain, collaborative analyses that inform personalized medicine approaches to diagnostic, treatment, and vaccine development in ID-focused international cohorts.

The goal of CARGO-ACT is to deliver a clear roadmap for sustainable global cooperation between key ground-based aerosol, cloud and trace gas research infrastructures, each having invested in infrastructure and services to support their observing networks with a long-term perspective, with a view to consolidating into a sustainable global research infrastructure in the future. There is a strong desire for global integration from the research community, including weather, climate, and air quality monitoring and modelling, and in particular from space agencies, since global networks of ground-based observations are an essential component complementing Earth Observation from space, providing calibration and validation of the remote sensing information collected by current and future satellite missions. The integration of the current ground-based networks, which may have different interests and priorities, requires cooperation and agreements at the global level, including engagement with relevant stakeholders. Their service provision is not limited to data services, but includes access to the measurement facilities, reference instruments, reference standards and laboratories, all of which are topics to be assessed in CARGO-ACT. The specific objectives of CARGO-ACT are to, develop sustainable partnerships and decision making processes with relevant partners, demonstrate the benefits of converging interoperability and standards to stakeholders and the global research community, establish the mechanisms for providing international access to distributed research infrastructures and develop a roadmap for upscaling towards an integrated global research infrastructure for aerosol, cloud and trace gases.