14 posts found
AI tools for research and a new way to use language models
AI systems designed to assist us from the first dives to the final bibliography.
One of the missions of contemporary artificial intelligence is to help us find, sort and digest information, especially with the help of large language models. These systems have come at a time when we most need to mana…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
Using Pandas for quality error reduction in data repositories
There is no doubt that data has become the strategic asset for organisations. Today, it is essential to ensure that decisions are based on quality data, regardless of the alignment they follow: data analytics, artificial intelligence or reporting. However, ensuring data repositories with high levels…
Data job offers: The most valued skills on the market
Almost half of European adults lack basic digital skills. According to the latest State of the Digital Decade report, in 2023, only 55.6% of citizens reported having such skills. This percentage rises to 66.2% in the case of Spain, ahead of the European average.
Having basic digital skills is essent…
Importance of data profiling, types and tools
What is data profiling?
Data profiling is the set of activities and processes aimed at determining the metadata about a particular dataset. This process, considered as an indispensable technique during exploratory data analysis, includes the application of different statistics with the main objectiv…
What can we find in the CRUE report "Data Analytics at the University"?
Last November 2023, Crue Spanish Universities published the report TIC360 "Data Analytics in the University". The report is an initiative of the Crue-Digitalisation IT Management working group and aims to show how the optimisation of data extraction and processing processes is key to the generation…
The European data space for public procurement: possibilities, difficulties and challenges
The regulatory approach in the European Union has taken a major turn since the first regulation on the reuse of public sector information was promoted in 2003. Specifically, as a consequence of the European Data Strategy approved in 2020, the regulatory approach is being expanded from at least two p…
Re3gistry: facilitating the semantic interoperability of data
The INSPIRE (Infrastructure for Spatial Information in Europe) Directive sets out the general rules for the establishment of an Infrastructure for Spatial Information in the European Community based on the Infrastructures of the Member States. Adopted by the European Parliament a…
Vinalod: The tool to make open datasets more accessible
Public administration is working to ensure access to open data, in order to empowering citizens in their right to information. Aligned with this objective, the European open data portal (data.europa.eu) references a large volume of data on a variety of topics.
However, although the data belong to di…
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…
