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150 156 7 ; Ferrer Sapena, A.; Sánchez Pérez, EA. (2013). Open data, big data: ¿hacia dónde nos dirigimos?. Anuario ThinkEPI. 7:150-156. http://hdl.handle.net/10251/38086 ; Senia ; The "open data" movement is becoming more popular in different contexts: public administration, science and companies; therefore, it is important to know its scope. The term has generated a lot of expectations related to transparency at all levels, data reuse and free access. This review discusses some of the expectations generated by this movement. ; En unos momentos en que se está popularizan- do el movimiento de "datos abiertos" en distintos contex- tos: administración pública, ciencia y empresas, es impor- tante conocer cuál es el alcance que tiene. El término ha generado muchas expectativas relacionadas con la trans- parencia a todos los niveles, la reutilización y el libre acce- so. Aquí se hace una revisión de alguna de las expectativas generadas por este movimiento.

The "open data" movement is becoming more popular in different contexts: public administration, science and companies; therefore, it is important to know its scope. The term has generated a lot of expectations related to transparency at all levels, data reuse and free access. This review discusses some of the expectations generated by this movement. When the term "open data" is used is usually understood as the opening of digital data, but this concept also fits the data on printed documents. There is a huge amount of data stored in archives and libraries that have been built with the taxes of the citizens who are not scanned. Opening data is increasingly demanded by the public. Promoting access, therefore, is linked to the transparency of the processes. Depending on who the data producer will talk about transparency in government, research or business.

WOS: 000443598800002 ; The term "data journalism" arrived to newsrooms some time ago, and now every news media wants be part of it. In a small country like Uruguay - despite the isolated efforts of some companies, NGOs and government agencies - it has still not found its place in the media. This research tries to clarify the concept of data journalism in order to break down the state of the art in Uruguay, through interviews with journalists, members of NGOs and members of the academic staff of the universities where the future journalists are being formed. Thus being able to point out the impulses and obstacles data journalism has encountered in order to foresee its possible future.

SAIN4 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). The purpose of this document is to collect the results of the construction of the Big Data Analytics and Data Capture infrastructure, which will allow the digitization of the production processes and serve the Advanced Management System (AMS) of the data necessary for its operation. ; SAIN4. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016 with 67.395,60€. File number: IIMDEEA/2017/73

The purpose of the article is to examine the rationale behind the argument of the geopolitical nature of Big Data, associated with Artificial Intelligence (AI). To this end, it advances in the classification of different dimensions that extend its understanding from its methodological, cognitive, ideological, geopolitical and practical function, as well as in the study of the factors that determine its geopolitical nature. This leads to the qualitative transformations that characterize the content and impact of geopolitical competition in the information society. The central conclusion is that the technological advances that express the geopolitical nature of these tools are modifying power relations and the way in which States, and these with their territories, relate to each other, thus revolutionizing traditional notions and approaches to understanding geopolitics in the context of the information society. In this sense, national interests and their strategic lines are being rethought, as well as the projection of their power in the political geography of nations on an international scale. For the development of the research, evaluations were applied from the qualitative paradigm, applying the method of triangulation of authors, which allowed the identification of the elements that distinguish the debate about the geopolitical nature of the united Big Data and Artificial Intelligence. ; El propósito del artículo consiste en examinar los fundamentos que sirven de base para la argumentación de la naturaleza geopolítica del Big Data, asociado a la Inteligencia Artificial (IA). Para ello se avanza en la clasificación de diferentes dimensiones que amplían su comprensión desde su función metodológica, cognoscitiva, ideológica, geopolítica y práctica, así como en el estudio de los factores que determinan su naturaleza geopolítica. De ello se inducen las transformaciones cualitativas de que caracterizan el contenido e impacto de la competencia geopolítica de la sociedad de la información. La conclusión central es que los avances tecnológicos que expresan naturaleza geopolítica de estas herramientas, están modificando las relaciones de poder y la manera en que se relacionan los Estados, y estos con sus territorios, con lo que se están revolucionando las nociones y enfoques tradicionales de entender la geopolítica en el contexto de la sociedad de la información. En este sentido, se están repensando los intereses nacionales y sus líneas estratégicas, así como, la proyección de su poder en la geografia política de las naciones a escala internacional. Para el desarrollo de la investigación se aplicaron valoraciones desde el paradigma cualitativo, aplicando el método de triangulación de autores, que permitió identificar los elementos que distinguen el debate acerca de la naturaleza geopolítica del Big Data unido y a la Inteligencia Artificial.

This paper has reviewed the field of Data Science and how Data Science techniques can be applied to building energy management. Specifically, we have focused on building operation, energy load prediction, and identification of consumption patterns. Our experiments show that Big Data technologies can solve the computational problems that appear when processing of large amounts of data, which are likely to have an increasing relevance with the advent of the Internet of Things –with smart meters and appliances fully connected to the Internet. However, the applications to real-world scenarios are still scarce. In our experience, one of the most important aspects to improve is achieving a greater involvement of the building managers in the data analysis process. To do this, future research work should explore two complementary directions, namely, showing the potential of Data Science to building managers, and developing more user-friendly algorithms and tools. In this way, we expect that new approaches will be less opaque, easier to use, more customizable, and above all other features, more engaging. ; Tesis Univ. Granada. ; Spanish Ministries of Science, Innovation and Universities (TIN2017-91223-EXP) ; Economy and Competitiveness (TIN2015-64776-C3-1-R) ; Energy IN TIME project from the EU 7o Framework Programme (grant agreement No. 608981) ; COPKIT project from the EU 8 Framework Programme (H2020) research ; Innovation programme (grant agreement No 786687) ; University of Granada (Programa de Proyectos para la incorporación de jóvenes doctores a nuevas líneas de investigación) ; Spanish Government (TIN2012-30939 project)

Open Data (OD) is a topic of high relevance in public administrations related to innovation and modernization of the public sector, not only for its recent disruption, but for its potential in terms of public value. The implementation of policies that promote free data access is transforming the services offered by the government and generating unprecedented value. This phenomenon is occurring mainly under the new public management model called Open Government. In this sense, this paper presents a review of the concept of OD mainly linked to an idea of government openness, the relevance of OD is also discussed and some reflections are made about the role and political-administrative implications that these data represent. ; Los Datos Abiertos (DA) u Open Data están siendo un tema de alta relevancia en las administraciones públicas cuando se habla de innovación y modernización del sector público, no solo por su reciente disrupción, sino por su potencial en términos de valor público. La puesta en marcha de políticas que impulsan el acceso libre de datos está transformando, en gran medida, los servicios que ofrecen los gobiernos y generando un valor transformador sin precedentes. Este fenómeno se está dando principalmente bajo el nuevo modelo de gestión pública llamado Gobierno Abierto. En este sentido, este trabajo presenta una revisión sobre el concepto de DA principalmente vinculado a una idea de apertura gubernamental, así mismo se discute la relevancia de los DA y se hacen algunas reflexiones sobre el rol y las implicaciones político-administrativas que representan este tipo de datos.

eGovernment and autoritative public data in Denmark are still mainly focused on the landside of Danmark. But the need of eloborating the coordinating effort of administration at sea is recognised and the development of maritime eGovernment is happening within the next years. This paper discusses the data involved in this administration and focuses on the need for understanding the function and hence value of data. Some maritime data are dealing with accurate placements of objects, and as a tricky part some are dealing with floating placement. Other data are handling non-visible areas in terms of zoning, e.g. planning and interest areas and finally some data are representation of legislation, whether it is rights or restrictions. These different data are not always usable in the same manner. This paper investigates the correlation between spatial data and legislation. Experience from many years of land administration can be used as part of this discussion as well as the conclusions from this paper can be discussion as input to the ongoing development on land.

eGovernment and autoritative public data in Denmark are still mainly focused on the landside of Danmark. But the need of eloborating the coordinating effort of administration at sea is recognised and the development of maritime eGovernment is happening within the next years. This paper discusses the data involved in this administration and focuses on the need for understanding the function and hence value of data. Some maritime data are dealing with accurate placements of objects, and as a tricky part some are dealing with floating placement. Other data are handling non-visible areas in terms of zoning, e.g. planning and interest areas and finally some data are representation of legislation, whether it is rights or restrictions. These different data are not always usable in the same manner. This paper investigates the correlation between spatial data and legislation. Experience from many years of land administration can be used as part of this discussion as well as the conclusions from this paper can be discussion as input to the ongoing development on land.

Over recent years, a whole new process known as data mining, equivalent to automated techniques processing large sets of data in order to extract patterns, relationships, trends and other information not traceable through usual 'human' reading, has been largely gaining in repute. By taking advantage of the seemingly indefinite opportunities enabled by applications of data mining techniques, various fields of scientific or medical research, business transactions, state-related and other security-concerned activities, could gain unprecedented benefits. However, notwithstanding established data protection principles reserved also for biometric information, data mining practices, inherently intrusive in the private sphere of individuals, have generated various concerns and controversy. As these emerging technological developments create new challenges to the protection of personal data, including primarily the most sensitive category of biometric data, the effectiveness of the concept of privacy under the European Convention on Human Rights (ECHR) and of the existing EU data protection legislation in securing an adequate legal framework is facing a new ordeal. This paper seeks to review, especially in the aftermath of the recent Luxembourg Court's case law, whether evolving data mining practices materialize the need of adjusting the legal treatment of biometric data protection. ; Over recent years, a whole new process known as data mining, equivalent to automated techniques processing large sets of data in order to extract patterns, relationships, trends and other information not traceable through usual 'human' reading, has been largely gaining in repute. By taking advantage of the seemingly indefinite opportunities enabled by applications of data mining techniques, various fields of scientific or medical research, business transactions, state-related and other security-concerned activities, could gain unprecedented benefits. However, notwithstanding established data protection principles reserved also for biometric information, data mining practices, inherently intrusive in the private sphere of individuals, have generated various concerns and controversy.