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Features for the creation of data spaces
A data space is an ecosystem where, on a voluntary basis, the data of its participants (public sector, large and small technology or business companies, individuals, research organizations, etc.) are pooled. Thus, under a context of sovereignty, trust...
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Copernicus data for the open data community
This report published by the European Data Portal (EDP) aims to help open data users in harnessing the potential of the data generated by the Copernicus program. The Copernicus project generates high-value satellite data, generating a large...
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Measuring data demand in the public sector
This report published by the European Data Portal (EDP) covers the following topics. What are the needs of open data re-users of public sector institutions in Europe? This question is key to facilitate the publication of open data and...
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High-Value Data Sets: Understanding the Data Providers' Perspective
This report published by the European Data Portal (EDP) covers the following topics. Making data available as open data in all EU Member States is vital to harnessing its potential for European society and economy. In order to increase impact...
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Data.europa.eu and European Data Pools: a report on challenges and opportunities
This report published by the European Data Portal (EDP) explores existing and emerging developments and initiatives around data sharing using data spaces. The objective is twofold: to identify the owners of open data involved in the...
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Principles and recommendations to make data.europa.eu data more reusable
This report published by the European Data Portal (EDP) aims to advance the debate on the medium and long-term sustainability of open data portal infrastructures. It provides recommendations to open data publishers and data publishers on how to...
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How to facilitate data collaboration to solve societal problems
Data are fundamental to solving the social and economic challenges we face today. It allows us to understand the causes behind a given situation and the factors that influence it, to estimate how it is evolving and to make informed decisions for change...
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Technical standards for good data governance
Data is a key pillar of digital transformation. Reliable and quality data are the basis of everything, from the main strategic decisions to the routine operational process, they are fundamental in the development of data spaces, as well as the basis of...
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Characteristics of the Spanish University students and most demanded degrees
1. Introduction 2. Objetives 3. Resources 3.1. Datasets 3.2. Tools 4. Data pre-processing 5. Visualizations 6. Conclusions 1. Introduction Visualizations are graphical representations of data that allow to transmit in a...
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How to deal with a data analysis project?
By analysing data, we can discover meaningful patterns and gain insights that lead to informed decision making. But good data analysis needs to be methodical and follow a series of steps in an orderly fashion. In this video (in Spanish) we give you some...
