This report gathers the most relevant results of the analysis and design activities for the Big Data Analytics management system. In this way, this document details the requirements to be satisfied by the management system. Then, it is described the design of the Big Data Analytics management system solution. ; Radiatus. 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 2017 with 170.771,32€. File number: IMDEEA/2017/139
Introducción y objetivo: El presente texto aborda los aspectos más significativos para compartir datos de investigación del área de otorrinolaringología en el contexto de la ciencia abierta como ecosistema. Su objetivo es ofrecer una mirada panorámica que ayude al investigador a gestionar sus datos como parte de la ciencia enriquecida. Método: Se efectuó una revisión bibliográfica y de la propia experiencia en el campo de los datos de investigación. Resultados: Se ofrecen los pilares básicos para alcanzar el éxito: sus dimensiones, política, técnica y las capacidades necesarias. Discusión: Las tareas de hacer disponibles los datos deben estar reconocidas como parte del currículo del investigador porque documentarlos para que sean reutilizables es una tarea altamente especializada y laboriosa. Conclusiones: Se considera que estamos en un momento crucial para comenzar a compartir datos, pues se está planteando en todos los escenarios de política científica como en la Unión Europea a través de la European Open Science Computing. ; Introduction and objective: The present text addresses the most significant aspects to share research data in otolaryngology in the context of open science as an ecosystem. Its aim is to offer a panoramic view that helps the researcher to manage their data as part of enriched science. Method: A bibliographical review and of the own experience in the field of the investi-gation data was performed. Results: The basic pillars for success are offered: its political, tech-nical and necessary capacities. Discussion: The tasks of making data available should be rec-ognized as part of the researcher's curriculum because documenting them to be reusable is a highly specialized and time-consuming task. Conclusions: It is considered that we are at a crucial moment to begin to share data. It is being considered in all scientific policy scenarios as in the EU through the European Open Science Computing. ; Medicina
[EN] Introduction and objective: The present text addresses the most significant aspects to share research data in otolaryngology in the context of open science as an ecosystem. Its aim is to offer a panoramic view that helps the researcher to manage their data as part of enriched science. Method: A bibliographical review and of the own experience in the field of the investigation data was performed. Results: The basic pillars for success are offered: its political, technical and necessary capacities. Discussion: The tasks of making data available should be recognized as part of the researcher's curriculum because documenting them to be reusable is a highly specialized and time-consuming task. Conclusions: It is considered that we are at a crucial moment to begin to share data. It is being considered in all scientific policy scenarios as in the EU through the European Open Science Computing. ; [ES] Introducción y objetivo: El presente texto aborda los aspectos más significativos para compartir datos de investigación del área de otorrinolaringología en el contexto de la ciencia abierta como ecosistema. Su objetivo es ofrecer una mirada panorámica que ayude al investigador a gestionar sus datos como parte de la ciencia enriquecida. Método: Se efectuó una revisión bibliográfica y de la propia experiencia en el campo de los datos de investigación. Resultados: Se ofrecen los pilares básicos para alcanzar el éxito: sus dimensiones, política, técnica y las capacidades necesarias. Discusión: Las tareas de hacer disponibles los datos deben estar reconocidas como parte del currículo del investigador porque documentarlos para que sean reutilizables es una tarea altamente especializada y laboriosa. Conclusiones: Se considera que estamos en un momento crucial para comenzar a compartir datos, pues se está planteando en todos los escenarios de política científica como en la Unión Europea a través de la European Open Science Computing. ; Financiación recibida del Ministerio de Economía y Competitividad. CSO2015-65594-C22-R ...
The purpose of this paper is to address some legal challenges posed by the new scenarios of international collaboration in genetic research. From the perspective of private international law, we will take care to reflect on the territorial application of legislation for obtaining and managing biomedical research data. Three basic statements we must make: first, the research data in human genetics are personal data; secondly, thus considered, research in human genetics is subject to the current regulations on the protection of personal data; and, third, these new scenarios of international collaboration in genetic research are objectively translated into the promotion of international transfers of personal data. Thus, in the following pages we will deal with the legal regime of protection for the determination of the law applicable to international transfers of personal data provided in Directive 95/46 EC and in the General Data Protection Regulation of The EU. ; El objeto de este trabajo es abordar algunos de los retos jurídicos que plantean los nuevos escenarios de colaboración internacional en la investigación genética. Desde la perspectiva del Derecho internacional privado nos ocuparemos de reflexionar acerca de la aplicación territorial de la legislación de obtención y gestión de datos de investigación biomédica. Tres afirmaciones de partida debemos hacer: primera, los datos de investigación en genética humana son datos de carácter personal; segunda, así considerados, la investigación en genética humana está sujeta a la normativa vigente sobre protección de datos de carácter personal; y, tercera, estos nuevos escenarios de colaboración internacional en la investigación genética se traducen, objetivamente en el fomento de las transferencias internacionales de datos de carácter personal. Así las cosas, en las páginas siguientes nos ocuparemos del régimen jurídico de protección para la determinación de la ley aplicable a las transferencias internacionales de datos de carácter personal previsto en la Directiva 95/46/CE y en el Reglamento General de protección de Datos de la UE.
This document gathers the most important results related to the implementation, test and validation of the management system of Big Data Analytic Services. This project is focused on developing a cloud service that acts as an entry point to the Big Data Analytics services. For doing so, the document details each of the component's and service's implementation steps and how they can be combined in order to create BigData Analytics services. Moreover, it includes flow diagram of each component's execution and the communication's channels interconnection used to link components with the aim of creating a new service. Finally, this document shows all the test performed in order to validate the functionality of each service and it also illustrates the main validations done. This validation has been done using kernels which allows us to evaluate the performance of each component over the ECloud platform. ; Radiatus. 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 2017 with 170.771,32€. File number: IMDEEA/2017/139
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
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)
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 article looks over the situation and management of the environmental research in Peru, with regard to the national politic to increase the budget for research. Moreover, the characteristics and methodology of the environmental sciences research are addressed and its difficulties are discussed. The national efforts and strategy to improve the management of environmental research are analyzed, establishing the need to emphasize efforts in the promotion of applied environmental research. Finally, the institutional roles and progress in the matter are described, and a proposal to improve the environmental research management is presented. ; El artículo revisa la situación de la investigación ambiental en el Perú a la luz del aumento nacional de presupuesto destinado a la investigación. Se resaltan las peculiaridades y metodología científica que utilizan las ciencias ambientales y se discuten sus dificultades. Se analiza la estrategia para mejorar la gestión de la investigación ambiental, sosteniendo la necesidad de poner mayor énfasis en la investigación ambiental aplicada. Finalmente, se describen los roles institucionales y avances en la materia y se plantean propuestas para la mejora de la gestión.
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.
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.
La irrupción de tecnologías disruptivas en la sociedad como el big data y la inteligencia artificial tendrá en los próximos años un impacto radical en el empleo público. La Administración está cambiando su forma de prestar servicios públicos y de intervenir en la sociedad, lo que obligará a cambiar también el perfil de sus recursos humanos, y, por tanto, a revisar sus mecanismos de selección y gestión de sus empleados. No existe un consenso sobre el alcance del cambio tecnológico en el empleo público, pero sí sobre el hecho de que el big data y la inteligencia artificial tendrán un papel fundamental en tareas hasta hoy realizadas por empleados públicos, que deberán desarrollar otras habilidades y competencias. El momento de cambio generacional que la Administración va a vivir en los próximos quince años se presenta como una oportunidad para transformar el empleo público y la forma de gestionarlo, aprovechando los elementos positivos del cambio tecnológico y ayudando a que los poderes públicos cumplan con su función de búsqueda del interés general. ; The emergence of disruptive technologies such as big data and artificial intelligence in society will have an overwhelming impact on employment in the public sector in the coming years. Governments are changing the ways in which they provide public services and intervene in society. Such changes will force them to redefine their human resources and, as a result, to take a hard look at the mechanisms in place for employee recruitment and management. Agreement has not yet been reached regarding the extent to which technological change is affecting public employment; there is consensus, however, that big data and artificial intelligence will play an essential role in carrying out certain tasks which, until now, have been performed by civil servants, who will ultimately have to develop new knowledge and skills. The generational change that governments will experience over the course of the next fifteen years will become an opportunity to transform public employment and its management as long as the benefits of technological change are leveraged and public authorities are encouraged to fulfil their duty of satisfying public interest. ; La irrupció de tecnologies disruptives en la societat com el big data i la intel·ligència artificial tindrà en els pròxims anys un impacte radical en l'ocupació pública. L'Administració està canviant la seva manera de prestar serveis públics i d'intervenir en la societat, la qual cosa obligarà a canviar també el perfil dels seus recursos humans, i, per tant, a revisar els seus mecanismes de selecció i gestió dels seus empleats. No existeix un consens sobre l'abast del canvi tecnològic en l'ocupació pública, però sí sobre el fet que el big data i la intel·ligència artificial tindran un paper fonamental en tasques fins avui realitzades per empleats públics, que hauran de desenvolupar altres habilitats i competències. El moment de canvi generacional que l'Administració viurà en els pròxims quinze anys es presenta com una oportunitat per transformar l'ocupació pública i la forma de gestionar-la, aprofitant els elements positius del canvi tecnològic i ajudant que els poders públics compleixin la seva funció de cerca de l'interès general.
In order to examine the benefits offered by the management of Big Data in government institutions in the era of digitization, this research was developed methodologically under a quantitative approach, applying content analysis as a technique. Among the final considerations, Big Data in the public sector strengthens decision making, citizen participation, transparency of government management, as well as efficient administration of resources. As a recommendation, public institutions should develop management programs framed in the use of data generated by the community, as a fundamental input for the establishment of management policies. ; Con el objetivo de examinar los beneficios que ofrece la gestión del Big Data en las instituciones gubernamentales en la era de la digitalización, la presente investigación se desarrolló metodológicamente bajo un enfoque cuantitativo, aplicando como técnica el análisis de contenido. Dentro de las consideraciones finales, el Big Data en el sector público fortalece la toma de decisiones, participación ciudadana, transparencia de la gestión gubernamental, así como la administración eficiente de los recursos. Como recomendación, las instituciones públicas deben desarrollar programas de gestión enmarcados en el aprovechamiento de los datos generados por la comunidad, como insumo fundamental para el establecimiento de las políticas de gestión.
