13 posts found
AI Data Readiness: Preparing Data for Artificial Intelligence
Over the last few years we have seen spectacular advances in the use of artificial intelligence (AI) and, behind all these achievements, we will always find the same common ingredient: data. An illustrative example known to everyone is that of the language models used by OpenAI for its famous ChatGP…
Open data for a better understanding of the housing situation in Spain
Housing is one of the main concerns of Spanish citizens, according to the January 2025 barometer of the Centro de Investigaciones Sociológicas (CIS). In order to know the real situation of access to housing, it is necessary to have public, updated and quality data, which allows all the actors in thi…
How to present open data accessibly
Open data should be inherently accessible, meaning it must be available for free and without barriers that could restrict access and reuse. Accessibility is a fundamental and complex issue because it means that these data sets should not only be available in reusable formats but also that anyone sho…
How Artificial Intelligence and Open Data can re-imagine the way we design our cities
After months of new developments, the pace of advances in artificial intelligence does not seem to be slowing down - quite the contrary. A few weeks ago, when reviewing the latest developments in this field on the occasion of the 2023 deadline, video generation from text instructions was consid…
New Year's resolution: Apply the UNE data specifications in your organisation
As tradition dictates, the end of the year is a good time to reflect on our goals and objectives for the new phase that begins after the chimes. In data, the start of a new year also provides opportunities to chart an interoperable and digital future that will enable the development of a robust data…
Application of the UNE 0081:2023 Specification for data quality evaluation
The new UNE 0081 Data Quality Assessment specification, focused on data as a product (datasets or databases), complements the UNE 0079 Data Quality Management specification, which we analyse in this article, and focuses on data quality management processes. Both standards 0079 and 008…
UNE 0081 Specification - Data Quality Assessment Guide
Today, data quality plays a key role in today's world, where information is a valuable asset. Ensuring that data is accurate, complete and reliable has become essential to the success of organisations, and guarantees the success of informed decision making.
Data quality has a direct impact not only…
FAIR principles: the secret of the data wizards.
Books are an inexhaustible source of knowledge and experiences lived by others before us, which we can reuse to move forward in our lives. Libraries, therefore, are places where readers looking for books, borrow them, and once they have used them and extracted from them what they need, return them.…
Free tools to work on data quality issues
Ensuring data quality is an essential task for any open data initiative. Before publication, datasets need to be validated to check that they are free of errors, duplication, etc. In this way, their potential for re-use will grow.
Data quality is conditioned by many aspects. In this sense, the Aport…
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…
