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How to implement CKAN: real case of the Aragon Open Data portal

Aragon Open Data is one of the most active open data initiatives on the Spanish scene.

How to implement Linked Data: real case of the Aragon Open Data portal

A large number of different data sources with different contents and formats coexist in an open data portal. It is therefore necessary to provide each file, resource or content on the network with a context or definition that allows people, and also machines, to interpret its meaning. This is where the concept of Linked data comes in.

How to improve data visualisation: the example of the European drugs report

The European Drug Report provides a current overview of the drug situation in the region, analysing the main trends and emerging threats. It is a valuable publication, with a high number of downloads, which is quoted in many media outlets.

How to improve the acquisition of skills in the era of intelligent technologies

New technologies are changing the world we live in. The society changes, the economy changes, and with that, the jobs change.

How to improve the daily lives of people with disabilities using open data

Close your eyes and try to get on without seeing what is around you. Seat you in a wheelchair and determine if it is easy to access public transport and visit your favourite restaurant.

How to improve the sustainability of open data portals

Currently, most of the data opened in Europe are stored in portals and national catalogs that facilitate the search, location and reuse of such information.

How to integrate a visualization tool into a data platform

How to measure carbon footprint using open data

The carbon footprint is a key indicator for understanding the environmental impact of our actions. It measures the amount of greenhouse gas emissions released into the atmosphere as a result of human activities, most notably the burning of fossil fuels such as oil, natural gas and coal.

How to measure the impact of open data: the importance of SROI

Traditionally, companies have measured their results based on a simple operation: how much they have earned compared to the expenses they have incurred. However, this question is not so simple.

How to prepare a dataset for machine learning and análisis

In the process of analysing data and training machine learning models, it is essential to have an adequate dataset.