Research and Innovation

Managing and analysing large datasets in R&D requires effective data management strategies, which are often time-consuming and complex. Research institutions also need unrestricted access to manage sensitive or proprietary data to overcome privacy regulations and specialised skill requirements. The ethical compliance and navigating regulatory frameworks further amplify data complexity, demanding meticulous attention and time from researchers.

The European Open Science Cloud (EOSC) supports interdisciplinary and multinational research by promoting the use of FAIR (Findable, Accessible, Interoperable, Reusable) data to plan, execute, disseminate, and evaluate their research workflows and outcomes. Initiatives like FAIR-IMPACT identify practices, policies, tools and technical specifications for FAIR data management across real-time use cases in Agri-food, life science, photon & neutron science and social sciences and humanities. Another Initiative, the Research Data Alliance (RDA) facilitates the open sharing and reuse of data among researchers to address societal challenges.

With the iSHARE Trust Framework, the research sector can improve the open sharing and reuse of data across various fields including Agricultural Sciences, Engineering, Medical Sciences, and more. By implementing iSHARE’s standardized protocols, research institutions can streamline data management, ensure compliance with privacy regulations, and maintain control over sensitive and proprietary data.

Discover how organisations in the Research and Innovation Sector can potentially benefit from the implementation of the iSHARE Trust Framework.