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CEI (Ciudad Energéticamente Inteligente – Energetically Smart City) aims at improving the energy and environment conditions of living areas of the city, by managing correctly the existing infrastructures and resources. The improvement will be enabled by the development of technology systems (energy nodes control technologies, energy-environmental sensors technologies, technologies for the improvement of maintenance methodologies) that make possible the control of energy and environment conditions of those areas. This project is funded by the Instituto Valenciano de Competitividad Empresarial (IVACE) and the European Union through the Fondo Europeo de Desarrollo Regional (FEDER). This work package aims at designing and developing the ICT system associated to the energy management systems considered in the project. The first layer of this architecture tackles data acquisition: energy data, weather data, and other relevant data from the energy management systems deployed in the city. After data collection, the system implements two analysis modules: · A rule-based correlation engine, which will identify events over a subset of data sources. · A big data analytics engine, which will learn from historical data by applying statistical techniques. This document describes the components of the Big Data Analytics platform, focusing on the data processing and analysis (both statistical and rule-based). Finally, a front-end web shows the information handled by the platform. ; CEI (Ciudad Energéticamente Inteligente – Energetically Smart City). 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. File number: IMDECB/2016/60

Schäffner, W. (2008). El procesamiento de datos de Alexander von Humboldt. Redes, 14(28), 127-145. ; El trabajo analiza la descripción estadística de México que Humboldt realiza en su Ensayo sobre el estado político de Nueva España como una forma específica de administración y representación de datos de diferentes fuentes para crear un nuevo objeto. Hacia el principio del siglo XIX, el desarrollo de sistemas de diagramas topográficos reemplazando las tablas estadísticas vuelven posible una nueva economía y operacionalidad de los signos; es decir, hacer visible, legible, transferible y almacenable el mayor volumen de datos con la menor cantidad posible de signos, en un espacio visual en el que se superponen las fórmulas, la escritura y las imágenes y desaparecen los tradicionales límites entre texto e imagen. Es el uso de dichas técnicas mediales, aplicadas tanto a la observación de la naturaleza como del Estado, lo que da lugar a un segundo "descubrimiento científico" de las Américas. ; The paper examines the statistic depiction of Mexico that Humboldt provides in his "Essai politique sur le Royaume de la Nouvelle Espagne" as a specific form of processing and representing data obtained from different sources in order to create a new object. Towards the beginning of the 19th century, topographic diagram systems had replaced the statistic tables. This development made possible a new economy and operationality of data: it thus became possible to make visible, legible, transferable and storable the biggest amount of data with the less possible amount of signs, in a visual space in which formulas, writing and images overlap and the traditional limits between text and image disappear. The use of these techniques, applied to observe both nature and society, gave place to a second "scientific discovery" of the Americas.

Radiatus 2 (Elastic Infrastructure for BigData Analysis in the Cloud) is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (ERDF). The general objective of the project is to lay the foundations of knowledge that will facilitate the use of Big Data Analytics cloud solutions, allowing users to obtain knowledge from data generated and collected, without worrying about the necessary infrastructure. This document reports on the most relevant outcomes of the work done during the execution of the architectural design and implementation phases of the Ecloud services (Big Data analytics as a service). These services are focused on the processing of real time data (or streaming) over the Ecloud platform. This document also includes the description of the components integrated (and adapted when appropriated) into the Radiatus platform, as well as some illustrative examplesof the services. Finally, it is described the results of the processthat has been followed during the testing and validation phase in which components and services have been tested under Radiatus platform. ; RADIATUS II. 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 the development of non-economic R&D projects carried out in cooperation with companies during 2018 with 200.000€. File number: IMDEEA/2018/94.

Radiatus 2 (Elastic Infrastructure for BigData Analysis in the Cloud) is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (ERDF). The general objective of the project is to lay the foundations of knowledge that will facilitate the use of Big Data Analytics cloud solutions, allowing users to obtain knowledge from data generated and collected, without worrying about the necessary infrastructure. This report gathers the most relevant results of the analysis and design phases of the Big Data Analytics ECloud service. This design has been focused to study and to integrate the real time processing inside Radiatus over a cloud platform. For doing so, the document details the Big Data Analytics scenarios considered for the real time processing, then it is described the designing process of each of the components offered inside the project. In addition, it is included a description of the technologies used (e.g. communication channels, software used, parameters, etc.) and the related requirements to be satisfied for each scenario. Finally, it has been defined the proposed services and it has been done a description of the components that integrate the architecture of the ecloud services, which have been defined to be implemented as BigData Analytics as a service. At the end, it has been described a functionality definition of each services and their main purpose for the real time processing. ; RADIATUS II. 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 the development of non-economic R&D projects carried out in cooperation with companies during 2018 with 200.000€. File number: IMDEEA/2018/94.

El 25 de mayo de 2018 entró en vigor el Reglamento (UE) 2016/679, del Parlamento Europeo y del Consejo, de 27 de abril de 2016, relativo a la protección de las personas físicas en lo que respecta al tratamiento de datos personales y a la libre circulación de esos datos, que modifica en gran medida el régimen que hasta ahora se venía aplicando por la Directiva 95/46/CE y la Ley Orgánica de Protección de Datos que la transponía. El presente trabajo realiza una aproximación inicial al tratamiento que del consentimiento se ha venido realizando en la referida normativa en materia de protección de datos, y en qué medida ese tratamiento va a verse modificado como consecuencia de la aprobación del Reglamento, con la finalidad de determinar si dichas modificaciones constituyen o no una mejora a la protección de los titulares de los datos sometidos a tratamiento. ; On 25th May 2018, Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, which greatly modifies the regime that has so far been applied by Directive 95/46/EC and the Ley Orgánica de Protección de Datos that transposed it, entered into force. This paper provides an initial approach to the processing of consent in the aforementioned legislation on data protection, and the extent to which such processing will be modified as a result of the adoption of the Regulation, in order to determine whether or not such modifications constitute an improvement in the protection of the data subjects subject to processing.

The article examines the concept of legitimate interest as a lawful basis for processing personal data. First, the concept of legitimate interest and its connection with the principle of lawfulness of processing personal data is developed. Second, the text examines the European and Spanish sources of the concept of legitimate interest. Finally, it analyzes the status of legitimate interest in Chilean legislation, both under Law 19.628, On the Protection of Privacy, and in banking legislation. The paper concludes that the concept of legitimate interest has been adequately developed in comparative law and that, in the event of amending Law 19.628, such standards should be considered in their general reception under Chilean law. ; El texto examina el concepto de interés legítimo como fuente de licitud para el tratamiento de datos personales. Primero, se desarrolla el concepto de interés legítimo y su conexión con el principio de licitud del tratamiento de datos personales. Segundo, el texto examina las fuentes europeas y españolas del concepto de interés legítimo. Finalmente, se analiza el estatus del interés legítimo en la legislación chilena, tanto en la Ley 19.628, Sobre Protección de la Vida Privada, como en la legislación bancaria. El artículo concluye que el concepto de interés legítimo ha sido desarrollado en el derecho comparado y que, en el evento de reformar la Ley 19.628, deberían considerarse tales estándares en su recepción general en el derecho chileno. ; O texto examina o conceito de interesse legítimo como fonte de licitude para o tratamento de dados pessoais. Em primeiro lugar, desenvolve o conceito de interesse legítimo e a sua relação com o princípio da licitude do tratamento dos dados pessoais. Em segundo lugar, o texto examina as fontes europeias e espanholas do conceito de interesse legítimo. Finalmente, analisa o status de interesse legítimo na legislação chilena, tanto na Lei nº 19.628, sobre a proteção da privacidade, como na legislação bancária. O artigo conclui que o conceito de interesse ...

Before the amendment of Article 8 of the Constitution of 1980 and the enactment of Act 20 285, on transparency and access to information of public services, there is a new protective legal mechanism and procedures in order to exercise the right of access before the organs of state and, in case of refusal to the delivery of records, deeds, contracts, documents, resolutions and state contracts, go for defense before the Council of Transparency. However, the previous period of law 19.628 on protection of privacy and the actual wording of the law 20 285-on «active transparency» and «grounds of secrecy or confidentiality, to reasonably require legal protection treatment Personal data on public services should become a law limiting access to administrative information, especially when no need to require expression of cause or reason for the applicant is one of the essential principles of the law 20 285. ; Ante la modificación del artículo 8 de la Constitución Política de 1980 y la promulgación de la Ley 20.285 sobre Transparencia y Acceso a la Información de los Servicios Públicos, ha surgido un nuevo mecanismo jurídico cautelar y procesal para ejercer el derecho de acceso ante los órganos del Estado y, en caso de negativa a la entrega de antecedentes, actos, contratos, documentos, resoluciones y contratos del Estado, acudirse de amparo ante el Consejo para la Transparencia. Empero, la vigencia anterior de la Ley 19.628 sobre Protección de la Vida Privada y el propio articulado de la Ley 20.285 —en materia de «transparencia activa» y de «causales de secreto o reserva»—, obligan fundadamente a que la protección legal del tratamiento de datos personales en los servicios públicos se constituya en una limitante al derecho de acceso a la información administrativa, máxime cuando la no necesidad de exigir expresión de causa o motivo para el solicitante es uno de los principios esenciales de la Ley 20.285. ; Ante a modificação do Artigo 8 da Constituição Política de 1980 e a promulgação da Lei 20.285 sobre Transparência e ...

In recent years, the world has experienced a huge revolution centered around the gathering and application of big data in various fields. This has affected many aspects of our daily life, including government, manufacturing, commerce, health, communication, entertainment, and many more. So far, education has benefited only a little from the big data revolution. In this article, we review the potential of big data in the context of education systems. Such data may include log files drawn from online learning environments, messages on online discussion forums, answers to open-ended questions, grades on various tasks, demographic and administrative information, speech, handwritten notes, illustrations, gestures and movements, neurophysiologic signals, eye movements, and many more. Analyzing this data, it is possible to calculate a wide range of measurements of the learning process and to support various educational stakeholders with informed decision-making. We offer a framework for better understanding of how big data can be used in education. The framework comprises several elements that need to be addressed in this context: defining the data; formulating data-collecting and storage apparatuses; data analysis and the application of analysis products. We further review some key opportunities and some important challenges of using big data in education ; En los últimos años, el mundo ha experimentado una gran revolución centrada en la recopilación y aplicación de big data en varios campos. Esto ha afectado muchos aspectos de nuestra vida diaria, incluidos el gobierno, la manufactura, el comercio, la salud, la comunicación, el entretenimiento y muchos más. Hasta ahora, la educación se ha beneficiado muy poco de la revolución del big data. En este artículo revisamos el potencial de los macrodatos en el contexto de los sistemas educativos. Dichos datos pueden incluir archivos de registro extraídos de entornos de aprendizaje en línea, mensajes en foros de discusión en línea, respuestas a preguntas abiertas, calificaciones en diversas tareas, información demográfica y administrativa, discurso, notas escritas a mano, ilustraciones, gestos y movimientos, señales neurofisiológicas, movimientos oculares y muchos más. Analizando estos datos es posible calcular una amplia gama de mediciones del proceso de aprendizaje y apoyar a diversos interesados educativos con una toma de decisiones informada. Ofrecemos un marco para una mejor comprensión de cómo se puede utilizar el big data en la educación. El marco comprende varios elementos que deben abordarse en este contexto: definición de los datos; formulación de aparatos de recolección y almacenamiento de datos; análisis de datos y aplicación de productos de análisis. Además, revisamos algunas oportunidades clave y algunos desafíos importantes del uso de big data en la educación