13 posts found
PET technologies: how to use protected data in a privacy-sensitive way
As organisations seek to harness the potential of data to make decisions, innovate and improve their services, a fundamental challenge arises: how can data collection and use be balanced with respect for privacy? PET technologies attempt to address this challenge. In this post, we will explore what…
Big Data Test Infrastructure: A free environment for public administrations to experiment with open data
The Big Data Test Infrastructure (BDTI) is a tool funded by the European Digital Agenda, which enables public administrations to perform analysis with open data and open source tools in order to drive innovation.
This free-to-use, cloud-based tool was created in 2019 to accelerate d…
The future of privacy in a world dominated by open data
In the era dominated by artificial intelligence that we are just beginning, open data has rightfully become an increasingly valuable asset, not only as a support for transparency but also for the progress of innovation and technological development in general.
The opening of data has brought enormou…
Aplicación de la Especificación UNE 0079:2023 de gestión de calidad a los datos abiertos
Continuamos en esta segunda entrega de la serie de artículos con la aplicación de las especificaciones UNE. Antes de nada, recordemos que las Especificaciones UNE 0077, UNE 0078 y UNE 0079 introducen las buenas prácticas en el gobierno del dato, gestión del dato y gestión de calidad del dato con una…
Aplicación de las Especificación UNE 0078: 2023 a los datos abiertos
Este artículo constituye la tercera y última entrega de la serie de artículos dedicados dedicado a la aplicación de las especificaciones UNE de Gobierno, Gestión y Gestión de la calidad del dato a la publicación de datos abiertos. Recordemos que lo estamos realizando, aplicándolo al caso ficticio de…
Segment Anything Model: Key Insights from Meta's Segmentation Model Applied to Spatial Data
Image segmentation is a method that divides a digital image into subgroups (segments) to reduce its complexity, thus facilitating its processing or analysis. The purpose of segmentation is to assign labels to pixels to identify objects, people, or other elements in the image.
Image segmentation is c…
European Webinars: Monitoring Climate Change and Digital Development with Open Data
The "Stories of Use Cases" series, organized by the European Open Data portal (data.europe.eu), is a collection of online events focused on the use of open data to contribute to common European Union objectives such as consolidating democracy, boosting the economy, combating climate change, and driv…
Common misunderstandings in data anonymisation
Data anonymisation is a complex process and often prone to misunderstandings. In the worst case, these misconceptions lead to data leakage, directly affecting the guarantees that should be offered to users regarding their privacy.
Anonymisation aims at rendering data anonymous, avoiding the re-ident…
Technical Standards to achieve Data Quality
Transforming data into knowledge has become one of the main objectives facing both public and private organizations today. But, in order to achieve this, it is necessary to start from the premise that the data processed is governed and of quality.
In this sense, the Spanish Association for Standardi…
The importance of anonymization and data privacy
We are in a historical moment, where data has become a key asset for almost any process in our daily lives. There are more and more ways to collect data and more capacity to process and share it, where new technologies such as IoT, Blockchain, Artificial Intelligence, Big Data and Linked Data play a…
