In the context of global efforts to achieve the Sustainable Development Goals (SDGs) of the Agenda 2030, Copernicus data play a crucial role. However, the complexity and volume of this data require robust tools and platforms for its management, analysis and sharing.

The SDGS-EYES collaborative platform addresses this need by collecting and providing comprehensive, geospatial data tailored for research projects focused on SDG indicators and allows users to securely access multiple JupyterLab instances. This centralized approach simplifies user access and ensures that researchers are equipped with the tools they need to conduct their analyses, without worrying about data management and software configuration.

All of this is crucial for driving forward impactful research and ensuring that sustainable development goals are met in a timely manner.

Looking ahead, SDGS-EYES aims to expand and improve.The project includes the consolidation and expansion of its use cases, incorporating more diverse datasets and analytical tools and further broadening its applicability to various SDG indicators. Moreover, the SDGS-EYES platform aims to establish itself as a cornerstone for collaborative research by fostering partnerships with academic institutions, governmental agencies, and international organizations to enhance data sharing and methodological standardization. Operationally, the project will focus on automating data ingestion and processing workflows, reducing the time from data acquisition to analysis. Enhancing the platform’s scalability will also be a priority, ensuring it can handle increasing amounts of data and a growing number of users without compromising performance.