10 posts found
Invisibilisation and algorithmic discrimination
Digital technology and algorithms have revolutionised the way we live, work and communicate. While promising efficiency, accuracy and convenience, these technologies can exacerbate prejudice and social inequalities exacerbate prejudice and social inequalities and create new forms of exclusion and cr…
A common language to enable interoperability between open dataset catalogs
Open data plays a relevant role in technological development for many reasons. For example, it is a fundamental component in informed decision making, in process evaluation or even in driving technological innovation. Provided they are of the highest quality, up-to-date and ethically sound, data can…
MAMD Methodology: The Alarcos Model of Data Improvement
There is such a close relationship between data management, data quality management and data governance that the terms are often used interchangeably or confused. However, there are important nuances.
The overall objective of data management is to ensure that data meets the business requirements tha…
The most popular network analysis tools
Two decades ago they did not exist, but in recent years, social networks have become an important part of our lives. 29 million Spaniards actively use these services, according to data compiled by EPData. On average, users spend almost 2 hours a day connected to them.
This data makes social networks…
The most popular data visualization tools
Data is a fundamental pillar in business decision making. Before making any decision, it is necessary to analyze the situation to understand the context and envision possible alternatives. And for this it is necessary to present the data in a clear and understandable way.
Data analysis is useless if…
The most popular data analysis tools
Data analysis is a process that allows us to obtain knowledge of the underlying information of the data, with the purpose of drawing conclusions that allow us to make informed decisions. Without data analytics, companies and organizations are limited in examining their results and determining the di…
The most popular data conversion and data cleaning tools
When carrying out a data analysis project, it is usual to work with different sources, which in many cases include datasets with Heterogeneous formats and structures that do not always share the same quality. Therefore, one of the first phases in any data analysis process is known as data cleaning.…
Success stories of data exchange between organizations
The "Support center for data exchange”(Support Center for Data Sharing or SCDS in English) was born in 2019 as part of the European strategy to promote a common data ecosystem. It is a space to investigate and report on the practices of so-called data sharing, which they themselves define as “transa…
The Juan March Foundation, a pioneer in the use of data science applied to culture
Data science is reaching all sectors, from agriculture to health, tourism or transport. And culture, as illustrated by the DataLab of Juan March Foundation, a knowledge laboratory that not only seeks to manage and disseminate the contents from the Library, but also extracts valuable information that…
Digital skills in Europe: the use of ontologies to improve the search for candidates
The increasing concern of European authorities for the management of digital skills among the working population, especially young people, is a growing reality whose management does not seem to have an easy solution.
“The internet and digital technologies are transforming our world. But existi…
