26 posts found
DCAT-AP-ES: A step forward in open data interoperability
Context and need for an update
Data is a key resource in the digital transformation of public administrations. Ensuring its access, interoperability and reuse is fundamental to improve transparency, foster innovation and enable the development of efficient public services centered on citizens.
In th…
The European Union's Guide to the Deployment of the Data Governance Act: public sector intermediary services
The Data Governance Act (DGA) is part of a complex web of EU public policy and regulation, the ultimate goal of which is to create a dataset ecosystem that feeds the digital transformation of the Member States and the objectives of the European Digital Decade:
A digitally empowered population and h…
Guide for implementing a data governance programme UNE 0085
Data governance is crucial for the digital transformation of organisations. It is developed through various axes within the organisation, forming an integral part of the organisational digital transformation plan. In a world where organisations need to constantly reinvent themselves and look f…
The Interoperable Europe Act
One of the main requirements of the digital transformation of the public sector concerns the existence of optimal interoperability conditions for data sharing. This is an essential premise from a number of points of view, in particular as regards multi-entity actions and procedures. In particular, i…
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…
The importance of data literacy in the context of digital rights and the rise of artificial intelligence
Data literacy has become a crucial issue in the digital age. This concept refers to the ability of people to understand how data is used, how it is accessed, created, analysed, used or reused, and communicated.
We live in a world where data and algorithms influence everyday decisions and the opportu…
The importance of data fairness in artificial intelligence systems
Data equity is a concept that emphasises the importance of considering issues of power, bias and discrimination in data collection, analysis and interpretation. It involves ensuring that data is collected, analysed and used in a way that is fair, inclusive and equitable to all stakeholders, particul…
Health research and data groups: examples at the forefront of the field
In the medical sector, access to information can transform lives. This is one of the main reasons why data sharing and open data communities or open science linked to medical research have become such a valuable resource. Medical research groups that champion the use and reuse of data are leading th…
How AI is transforming employment
Artificial intelligence (AI) has revolutionised various aspects of society and our environment. With ever faster technological advances, AI is transforming the way daily tasks are performed in different sectors of the economy.
As such, employment is one of the sectors where it is having…
The impact of open data on the employment sector
Open data provides relevant information on the state and evolution of different sectors, including employment. Employment data typically includes labour force statistics and information on employees, as well as economic, demographic or benefits-related data, interviews, salaries, vacancies, etc.…
