http://hdl.handle.net/10366/4641 Fri, 24 Apr 2026 15:49:04 GMT 2026-04-24T15:49:04Z http://hdl.handle.net/10366/139386 [ES]En este trabajo se describe la experiencia de implantación del Núcleo Novatores, un sistema de información y gestión de actividades científicas y tecnológicas cuyas fuentes son las instituciones, empresas o grupos sociales que financian, promueven o demandan las actividades de Investigación, Desarrollo e Innovación (I+D+i). El proyecto se enmarca dentro del Sistema Regional de Información en Ciencia y Tecnología de Castilla y León, promovido por la Junta de Castilla y León a través de la Dirección General de Universidades e Investigación y por la Fundación General de la Universidad de Salamanca Thu, 04 Nov 2004 00:00:00 GMT http://hdl.handle.net/10366/139386 2004-11-04T00:00:00Z http://hdl.handle.net/10366/128130 Sat, 01 Nov 2014 00:00:00 GMT http://hdl.handle.net/10366/128130 2014-11-01T00:00:00Z http://hdl.handle.net/10366/128121 [ES]El uso de Internet como fuente principal de búsqueda de información científica se ve reforzado con el uso de los redes sociales. Esta situación requiere un estudio y estandarización del contenido obtenido por esta vía. A través del estudio de los perfiles de twitter que difunden información científica se pueden identificar los temas principales y la cantidad y calidad de la información científica compartida. Sat, 01 Nov 2014 00:00:00 GMT http://hdl.handle.net/10366/128121 2014-11-01T00:00:00Z http://hdl.handle.net/10366/128116 [ES]Presentación perteneciente a las jornadas académicas "Memoria de mujer: universitarias" con objeto del análisis histórico de la presencia de las mujeres españolas desde el siglo XIX hasta la democracia española. La presentación aborda las posibilidades de las TIC y la prensa digital y digitalizada para su estudio. Tue, 01 Jul 2014 00:00:00 GMT http://hdl.handle.net/10366/128116 2014-07-01T00:00:00Z http://hdl.handle.net/10366/128113 [EN]Wikipedia is an Open Content resource, which is constructed by a users community, and is widely employed in educational contexts by both students and teachers. Wikipedia articles have hyperlinks that connect them, so it is possible to represent Wikipedia as a network, in which the nodes are the articles and the edges are hyperlinks. In this paper we analyze a complete copy of the Spanish Wikipedia. We apply Social Networks Analysis Techniques and, more precisely, Communities Detection Techniques, in order to identify clusters of articles with similar content. As the number of clusters is relatively small we use manual analyses to detect science articles. In addition we identify the most representative scientific fields and their main features. We conclude that science articles are about 11.66 % of Spanish Wikipedia articles and that the most important clusters of scientific articles do not always coincide with classical Science disciplines. This kind of analyses contributes to understanding better Wikipedia as an educational tool. Wed, 07 Oct 2015 00:00:00 GMT http://hdl.handle.net/10366/128113 2015-10-07T00:00:00Z http://hdl.handle.net/10366/128110 [EN]Different factors affecting performance and productivity of researchers have been described in the literature. Namely individual factors, contextual and organizational factors and psychological factors. Most studies have been carried in an academic environment, mainly in laboratories. But these factors may affect researchers activity in a different way within the essentially clinical hospital environment. In this work we investigate the extent to which different individual and institutional characteristics can influence performance and productivity of researchers within the hospital setting. The Miguel Servet (MS) Research Contract Programme is one of the most important strategic actions being undertaken by Spanish Administration in order to enhance the research activity at public hospitals. The Programme is aimed at incorporating researchers with excellent training within the National Health System (NHS) in order to improve its research capacity and to promote the creation of stable research groups within the NHS. The universe to be studied consisted of the 367 researchers funded by first eigth calls (1998-2005) of the MS Programme, whose contracts ended between 2005 and 2012. We used a web-based survey to obtain data from the population of MS researchers (72.2% response rate). Data on research activity and productivity were obtained from the activity reports submitted by researchers. The present work is based on data from the 174 researchers who finished its six-year contract and who answered the survey. Results Productivity and the capacity to obtain research projects are related with researchers’ satisfaction with the human resources in their groups. Thus, art_N increases by 57% in satisfied versus unsatisfied researchers. The capacity to publish in top journals is also influenced by this satisfaction: art_Q1 increased by 65%. Likewise, satisfied researchers participated in 44% more projects than those unsatisfied, but did not obtain a significant higher number of projects as principal researcher. As expected, leadership of a research group increases proj_PR and %proj_PR (+ 61% and +29% respectively). Productivity in ISI journals is also related with the kind of research performed. Researchers doing clinical research published more articles (65% more than those doing basic research and 21% more than basic+clinical researchers), more art_Q1(+ 70% than basic) and obtained a higher proj_N and proj_PR (+69% and +98% respectively). Mon, 01 Jul 2013 00:00:00 GMT http://hdl.handle.net/10366/128110 2013-07-01T00:00:00Z http://hdl.handle.net/10366/128104 Wed, 16 Sep 2015 00:00:00 GMT http://hdl.handle.net/10366/128104 2015-09-16T00:00:00Z http://hdl.handle.net/10366/127899 [ES]En esta presentación se muestran las técnicas para procesar automáticamente Wikipedia (edición española) con el fin de analizar de creación y edición de artículos de Wikipedia, así como para analizar los temas o contenidos temáticos. En concreto, se centra la atención en los artículos de ciencia y tecnología; aplicando primero técnicas automáticas para detectarlos, y analizando después sus relaciones con otros temas. Asimismo, se analiza la forma en que están escritas y editadas, buscando modelos diferenciales, específicas de los artículos Ciencia y Tecnología. Tue, 05 Nov 2013 00:00:00 GMT http://hdl.handle.net/10366/127899 2013-11-05T00:00:00Z http://hdl.handle.net/10366/127890 En esta conferencia se describe nuestro trabajo en la descarga de noticias de los periódicos digitales; a continuación, se aplican técnicas de categorización automática para filtrar noticias sobre Ciencia y / o Tecnología y clasificándolos en categorías intrínsecas y extrínsecas. Wed, 01 Jan 2014 00:00:00 GMT http://hdl.handle.net/10366/127890 2014-01-01T00:00:00Z http://hdl.handle.net/10366/127887 [ES]Presentaciones del seminario con las líneas de investigación sobre Web mining y Análisis de Redes Sociales (ARS) del grupo REINA Thu, 24 Apr 2014 00:00:00 GMT http://hdl.handle.net/10366/127887 2014-04-24T00:00:00Z