16 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…
How to build a citizen science initiative considering open data from the start
Citizen participation in the collection of scientific data promotes a more democratic science, by involving society in R+D+i processes and reinforcing accountability. In this sense, there are a variety of citizen science initiatives launched by entities such as CSIC, CENEAM or CREAF, among oth…
HealthDCAT-AP: The Standard That Connects Health Data to People
Data is the engine of innovation, and its transformative potential is reflected in all areas, especially in health. From faster diagnoses to personalized treatments to more effective public policies, the intelligent use of health information has the power to change lives in profound and meaningful w…
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…
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.…
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…
