10 posts found
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…
Different approaches to identifying high-value data
Since the publication of Directive (EU) 2019/1024 on open data and re-use of public sector information, the European Commission is undertaking a number of actions to develop the concept of high-value data that this directive introduced as an important novelty in June 2019.
We recall that high-value…
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…
Hercules-ASIO Initiative. Integration, publication and consultation of linked open research data.
The Hercules initiative was launched in November 2017, through an agreement between the University of Murcia and the Ministry of Economy, Industry and Competitiveness, with the aim of developing a Research Management System (RMS) based on semantic open data that offers a global view of the research…
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.…
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…
Pubby and LODI, opening linked data to humans
An important part of the data which is published on the Semantic Web, where resources are identified by URIs, is stored within triple store databases. This data can only be accessed through SPARQL queries via a SPARQL endpoint.
Moreover, the URIs used, usually designed in a pattern, in most of the d…
Linked Open Vocabularies (LOV)
One of the main barriers to the deployment of linked data is the difficulty that data editors have to determine which vocabularies to use to describe their semantics. These vocabularies provide the "semantic glue" that allows simple data to become "meaningful data".
Linked Open Vocabularies (LOV)…
