Trusted frameworks for secure and efficient data sharing in EOSC (EOSC Partnership)

Expected Outcome:Project results are expected to contribute to the following outcomes:Countries, research communities and institutions are equipped with data sovereignty frameworks harmonised within EOSC and aligned with EU legislation and international agreements.Improved mechanisms and solutions for effective control over sensitive data and for enabling lawful data use and sharing across EU member states, scientific disciplines and third countries with EU adequacy decision in place.More harmonised guidelines, support and training to researchers and data stewards on applying EU and national legislation and international agreements for data access, sharing, reuse, licensing and associated services within EOSC.Increased interoperability with relevant solutions of other European data spaces for secure data management and processing. Scope:Research data sovereignty refers to the possibility for effective control by data owners of data usage and sharing when necessary. Effective and transparent community-driven data sovereignty frameworks are important enablers of open science, in particular ensuring safe and trusted management of personal or sensitive data, safeguarding the quality of curated research datasets and the effective application of related EU and national digital and data legislation. Data sovereignty mechanisms can also improve the resilience and preparedness of research and data infrastructures against risks related to access to and preservation of critical data and services, including risks related to data generated and stored outside the EU/EEA.The exponential growth of available research data and the increasingly collaborative and cross-disciplinary research has accentuated challenges related to secure, efficient and lawful cross-border data sharing for research purposes. Removing barriers to data sharing while ensuring data sovereignty is crucial to realise the potential of EOSC to foster trusted cross-country and cross-discipline scientific collaborat