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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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The future of open data
"Information and data are more valuable when they are shared and the opening of government data could allow [...] to examine and use public information in a more transparent, collaborative, efficient and productive way". This was, in general terms, the...
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Emerging Technologies and Open Data: Predictive Analytics
In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3...
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Data-driven education technology to improve learning in the classroom and at home
The pandemic that originated last year has brought about a significant change in the way we see the world and how we relate to it. As far as the education sector is concerned, students and teachers at all levels have been forced to change the face-to-...
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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...
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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. In addition to the implementation, management and maintenance of an interoperable data catalogue, since its inception Aragon Open Data has carried out actions to bring...
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From the Infomediary Sector to the Data Economy. Study of Characterization of the Infomediate Sector. Edition 2020.
Infomediary activity is not classified as such in the CNAE. Therefore, the census of companies must be updated through indirect and ad hoc actions. Periodically, the National Observatory of Telecommunications and the Information Society (ONTSI) analyzes...
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Emerging Technologies and Open Data: Natural Language Processing
Natural language processing is making machines (computers) understand human language: spoken or in the form of text. More formally, natural language processing is a hybrid field between computer science and linguistics, which uses different techniques,...
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Open data beyond the public sector
From its origins, the open data movement has been focused on opening up public sector data, and even the original statement of open data principles itself refers only to data from public administrations (open government data - OGD). However, this...