Guides

Open data portals help municipalities to offer structured and transparent access to the data they generate in the exercise of their functions and in the provision of the services they are responsible for, while also fostering the creation of applications...

The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data...

In a world where geospatial information is crucial to address global challenges such as climate change and natural resource management, interoperability and the creation of standards are essential. Interoperability facilitates collaboration between...

The following is a definition of various terms regarding data and related technologies. 1. Glossary of terms related to open data. (You can download the accessible version here)   2. Glossary of terms related to new...

The FEMP's Network of Local Entities for Transparency and Citizen Participation has just presented a guide focused on data visualisation. The document, which takes as a reference the Guide to data visualisation developed by the City Council of L'...

Public sector bodies must make their data available for re-use, making it accessible in the form of open data, as referred to in Spain's legislative framework. The first step for this is that each entity, at local, regional and state level, as well as...

Data anonymization defines the methodology and set of best practices and techniques that reduce the risk of identifying individuals, the irreversibility of the anonymization process, and the auditing of the exploitation of anonymized data by monitoring...

When publishing open data, it is essential to ensure its quality. If data is well documented and of the required quality, it will be easier to reuse, as there will be less additional work for cleaning and processing. In addition, poor data quality can be...

A data space is an ecosystem where, on a voluntary basis, the data of its participants (public sector, large and small technology or business companies, individuals, research organizations, etc.) are pooled. Thus, under a context of sovereignty, trust...

Data is a key pillar of digital transformation. Reliable and quality data are the basis of everything, from the main strategic decisions to the routine operational process, they are fundamental in the development of data spaces, as well as the basis of...