In the digital age, the concept of open data has gained significant traction among governments, organizations, and the public. Open data refers to the practice of making data freely available to everyone to use and republish without restrictions. This movement aims to enhance transparency, innovation, and the efficient use of resources by enabling access to a wealth of information that was previously difficult to obtain. One of the critical aspects of open data is the identification and promotion of High-Value Data Sets (HVD). HVD are collections of data that hold significant potential to create social, economic, and environmental benefits.
In accordance with Implementing Regulation No. 2023/138 of Directive (EU) 2019/1024 on open data and the reuse of public sector information, High Value Data Sets (HVD) are made openly available. We present the HVD for data categories 1 (Geospatial) and 4 (Statistics), identified by Statistics Portugal and SNIG.
High-Value Data Sets have the potential to transform society by fostering innovation, improving public services, and promoting transparency. By addressing the challenges and leveraging the opportunities presented by these data sets, we can create a more informed, efficient, and inclusive world.
In accordance with Implementing Regulation No. 2023/138 of Directive (EU) 2019/1024, the statistics thematic category includes statistical datasets listed in the link below.
Geospatial Data Sets are invaluable collections of data that contain information tied to specific geographic locations. These datasets encompass a wide range of spatially referenced data, including maps, satellite imagery, GPS coordinates, and geographic boundaries. They serve as foundational resources for various fields such as urban planning, environmental management, disaster response, and navigation systems. By providing detailed insights into the spatial distribution of phenomena, Geospatial Data Sets play a crucial role in understanding and addressing complex spatial challenges.
In accordance with Implementing Regulation No. 2023/138 of Directive (EU) 2019/1024, the geospatial thematic category includes datasets within the scope of the INSPIRE data themes Administrative units, Geographical names, Addresses, Buildings and Cadastral parcels.
