This volume presents the first comprehensive study on the relationship between the Human Sciences and Big Data, with special emphasis on the Ibero-American space. The volume is divided into three parts (theoretical, methodological and practical) with an interdisciplinary vision that integrates thought, culture, language, literature, theoretical criticism, society or the use of new bibliometric techniques.
We thus take as a starting hypothesis that the social influence of scientific research can be objectively quantified and measured using public social and digital platforms (altmetrics) and that, in addition, it has different facets and meaning depending on the characteristics of the platforms where it is disseminated and the type of public who accesses the information. Consequently, the aim of the project is to create and validate a multidimensional model (Twitter, Policy Mentions, News Mentions and Wikipedia) to measure the social influence of Spanish researchers, which will be materialised with the creation of the open web platform: "influscience" and four sector analyses that scale from Spanish institutions to European countries. All of this is in line with the strategies of Spanish science and the European Union. Therefore, the methodology is established in three major phases. The starting point is the collection of bibliographic data from Scopus and Web of Science databases and from altimetric aggregator Altmetric.com to create a database that unifies publications and their social mentions. Based on these data, the publications located within the 5th percentile with the greatest social attention will be detected and from there the most influential scientists will be standardised and identified, all of this both by area of knowledge and by social media, also taking into account multidisciplinarity. Finally, a compilation of complementary information will be carried out for sectorial studies, being especially relevant the analysis of Twitter accounts and the collection of scientific production and metrics from different European countries for the elaboration of a comparative analysis.
Contribución realizada en la Jornada de Publicación, Financiación y Evaluación Científica en Arquitectura celebrada en la Escuela Técnica Superior de Arquitectura de la Universidad de Granada el 21 de Marzo de 2018 en el marco del II Plan de Promoción de la Investigación del Vicerrectorado de Investigación y transferencia. Se presentan los principales programas del Plan Propio de Investigación así como las principales actuaciones en política científica. Se ofrecen las principales clases de la carrera académica en España con especial énfasis en los criterios de ANECA y CNEAI; asimismo se explican y detallan los principales programas predoctorales y posdoctorales
El presente trabajo propone un nuevo método de análisis de la interdisciplinariedad a partir de la medición de la participación académica en las tesis doctorales en diferentes disciplinas. Metodología: Para construir las relaciones interdisciplinares se utilizan las tesis doctorales y las relaciones que se producen a partir de las direcciones de tesis y coparticipación en tribunales. Como muestra se utilizan las tesis doctorales defendidas en España en Comunicación Audiovisual (Televisión, Radio, Cine y Fotografía) en el periodo 1976-2007. El Escalamiento Multidimensional nos permite generar una representación bidimensional de las especialidades estudiadas, calcular distancias y cuantificar el grado de error de la representación. Resultados y conclusiones: Los resultados demuestran cómo se producen dos grupos diferenciados, por una parte Televisión y Radio, en segundo lugar, Cine y Fotografía. Televisión es la especialidad más representativa del conjunto. Apenas existen variaciones utilizando los diferentes tipos de participaciones.
Paper accepted for publication at the Journal of the American Society for Information Science and Technology. http://www.asis.org/jasist.html ; This paper follows up the work presented in the working paper 'Manipulating Google Scholar Citations and Google Scholar Metrics: Simple, easy and tempting' available at http://arxiv.org/abs/1212.0638 ; Google Scholar has been well received by the research community. Its promises of free, universal and easy access to scientific literature as well as the perception that it covers better than other traditional multidisciplinary databases the areas of the Social Sciences and the Humanities have contributed to the quick expansion of Google Scholar Citations and Google Scholar Metrics: two new bibliometric products that offer citation data at the individual level and at journal level. In this paper we show the results of a experiment undertaken to analyze Google Scholar's capacity to detect citation counting manipulation. For this, six documents were uploaded to an institutional web domain authored by a false researcher and referencing all the publications of the members of the EC3 research group at the University of Granada. The detection of Google Scholar of these papers outburst the citations included in the Google Scholar Citations profiles of the authors. We discuss the effects of such outburst and how it could affect the future development of such products not only at individual level but also at journal level, especially if Google Scholar persists with its lack of transparency. ; Nicolás Robinson-García is currently supported by a FPU Grant from the Ministerio de Economía y Competitividad of the Spanish Government.
The aim of this study is to make an analysis of the citation networks between the Spanish Social Science journals using the citations index IN-RECS. Different maps were generated representing the overall structure of Social Sciences and a specific analysis of Library and Information Science was conducted. The indicator betweeness was used as a measure of interdisciplinarity. The results reveal the existence of two main clusters, one formed by the Psychology and the Education and other with a prominent location of the Economics and the Political Science; Sociology is the main connexion between the two clusters. The journals with the highest rate of betweeness were Revista de Educación and Papeles de Economía. The Library and Information Science appears in a marginal side of the different maps. Revista Española de Documentación Científica is the most relevant journal with the largest betweeness rate due to its significant relationships with international journals. The results show that IN-RECS is a useful tool for the structural study of the Spanish Social Sciences. ; El objetivo de este estudio es realizar un análisis de las redes de citación entre revistas españolas de ciencias sociales empleando el índice de citas IN-RECS. Se han generado diferentes mapas representando la estructura general de las ciencias sociales y se llevó a cabo un análisis específico del área de Biblioteconomía y Documentación (ByD). Asimismo se empleó el indicador de Intermediación como medida de interdisciplinariedad. Los resultados revelan la existencia de dos clusters. Uno dominado por la Psicología y la Educación y otro donde dominan, principalmente, la Economía y la Ciencia Política, entre ambos clusters actúa de interfaz la Sociología. Las revistas con mayor índice de intermediación son la
El objetivo de este estudio es realizar un análisis de las redes de citación entre revistas españolas de ciencias sociales empleando el índice de citas IN-RECS. Se han generado diferentes mapas representando la estructura general de las ciencias sociales y se llevó a cabo un análisis específico del área de Biblioteconomía y Documentación (ByD). Asimismo se empleó el indicador de Intermediación como medida de interdisciplinariedad. Los resultados revelan la existencia de dos clusters. Uno dominado por la Psicología y la Educación y otro donde dominan, principalmente, la Economía y la Ciencia Política, entre ambos clusters actúa de interfaz la Sociología. Las revistas con mayor índice de intermediación son la Revista de Educación y Papeles de Economía. La ByD aparece en un lugar marginal de los grafos, dentro de esta especialidad destaca la Revista Española de Documentación Científica con la mayor intermediación debido a sus relaciones con revistas internacionales. Los resultados ponen de manifiesto la utilidad de IN-RECS como fuente de información para el estudio estructural de las ciencias sociales españolas. ; The aim of this study is to make an analysis of the citation networks between the Spanish Social Science journals using the citations index IN-RECS. Different maps were generated representing the overall structure of Social Sciences and a specific analysis of Library and Information Science was conducted. The indicator betweeness was used as a measure of interdisciplinarity. The results reveal the existence of two main clusters, one formed by the Psychology and the Education and other with a prominent location of the Economics and the Political Science; Sociology is the main connexion between the two clusters. The journals with the highest rate of betweeness were Revista de Educación and Papeles de Economía. The Library and Information Science appears in a marginal side of the different maps. Revista Española de Documentación Científica is the most relevant journal with the largest betweeness rate due to its significant relationships with international journals. The results show that IN-RECS is a useful tool for the structural study of the Spanish Social Sciences.
El Academic Ranking of World Universities (ARWU) o Ranking de Shanghai es actualmente el referente para conocer la posición de las universidades a nivel mundial. La escalada de puestos en dicho ranking se ha convertido en el objetivo de universidades y gobiernos. No s extraño por tanto que se haya planteado en España la posibilidad de sugerir agregaciones de universidades con el fin de subir puestos. En ese contexto, el objetivo del presente trabajo es determinar la posición que ocuparían en ARWU las comunidades autónomas españolas y los Campus de excelencia internacional (CEI) si constituyeran una única universidad. Para calcular los indicadores de ARWU para esas posibles agregaciones se sigue el trabajo de Docampo (2012b). Los resultados muestran con claridad la dificultad para ascender puestos pese a la suma de instituciones. Tan sólo agregando todas las universidades catalanas se podría situar una universidad española en el top 100. De los CEIs, los puestos más relevantes los ocuparían Habitat 5U (universidades de la Comunidad Valenciana), BKC (Barcelona y Politècnica de Catalunya) y VLC/Campus (Valencia y Politécnica de Valencia) que estarían en el rango 150-200. ; The Academic Ranking of World Universities (ARWU) or Shanghai Ranking is a de facto standard to determine the position of universities worldwide. Improving ranking positions has become the goal of universities and governments. No wonder therefore that the aggregation of universities in Spain is nowadays suggested as a means to raise the international profile of our university system. In this context, the goal of this study was to test two potential groupings, universities belonging to the same Autonomous Community and campuses of international excellence (CEIs), to determine the ARWU placement that would result. To compute the ARWU indicators of these possible groupings, we used the methodology developed in Docampo (2012b). The results of our analysis clearly show the difficulty of improving ranking positions by calculating the sum of aggregated institutions. As a matter of fact, the only way to place a university cluster from Spain in the top 100 would be to treat all of the Catalan universities as a single institution. The next best ranking for Spain would be achieved by the Habitat 5U (universities of Comunidad Valenciana), BKC (Barcelona and Politècnica de Catalunya) and VLC/Campus (Valencia and Politécnica de Valencia), CEIs which would lie in the 150-200 range.
