13 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…
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…
How Google, Moovit and Citymapper reuse open mobility data
Many people use apps to get around in their daily lives. Apps such as Google Maps, Moovit or CityMapper provide the fastest and most efficient route to a destination. However, what many users are unaware of is that behind these platforms lies a valuable source of information: open data. By reusing p…
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…
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…
