Submitted by Alison Vanceto (alison-vanceto@hotmail.com) on 2017-02-06T13:28:32Z No. of bitstreams: 1 TeseAGCB.pdf: 4960173 bytes, checksum: 9049e1b5ca5694803fc81f1966b314fb (MD5) / Approved for entry into archive by Camila Passos (camilapassos@ufscar.br) on 2017-02-06T13:34:13Z (GMT) No. of bitstreams: 1 TeseAGCB.pdf: 4960173 bytes, checksum: 9049e1b5ca5694803fc81f1966b314fb (MD5) / Approved for entry into archive by Camila Passos (camilapassos@ufscar.br) on 2017-02-06T13:34:33Z (GMT) No. of bitstreams: 1 TeseAGCB.pdf: 4960173 bytes, checksum: 9049e1b5ca5694803fc81f1966b314fb (MD5) / Made available in DSpace on 2017-02-06T13:34:49Z (GMT). No. of bitstreams: 1 TeseAGCB.pdf: 4960173 bytes, checksum: 9049e1b5ca5694803fc81f1966b314fb (MD5) Previous issue date: 2016-12-07 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / In recent years the social studies of science have revealed a special interest in the extraction of knowledge in databases, which enables the treatment and analysis of sets of data available on the scientific and technological production of researchers, institutions and countries. The objective of this research was to develop and apply a systematics for the collection, treatment and analysis of information about areas of scientific knowledge in Brazil, using essentially open access data and free tools. The method was a case study, the unit case was the priority area nanotechnology and the source of information comprised the bases: Lattes Curriculum Base; Directory of Search Groups; Brazilian Digital Library of Theses and Dissertations; And the Espacenet of the European Patent Office. The results achieved were 1) the creation and presentation of a systematic for the collection, treatment and analysis of information 2) indicators for the treated area. It is concluded that the Information in Science and Technology, with open access, allow a democratic generation of knowledge in this context. The sources of information and the set of tools made possible the elaboration of indicators capable of elucidating multiple dimensions of scientific and technological production - of researchers and research groups - in addition to teaching and research in postgraduate studies. The indicators obtained and their application reinforce the objective of the data mining process, in the sense of transforming data into information to be used in the decision-making process of organizations that are dedicated to the preservation and innovation of knowledge. / Nos últimos anos os estudos sociais da ciência têm revelado um especial interesse na extração de conhecimentos em bases de dados, o que possibilita o tratamento e análise de conjuntos de dados disponíveis sobre a produção científica e tecnológica de pesquisadores, instituições e países. O objetivo desta pesquisa foi desenvolver e aplicar uma sistemática para coleta, tratamento e análise de informações sobre áreas do conhecimento científico no Brasil, utilizando essencialmente dados de acesso aberto e ferramentas livres. O método foi compreendido por um estudo de caso, a unidade caso foi a área prioritária nanotecnologia e a fonte de informação compreendeu as bases: Base de Currículos Lattes; Diretório de Grupos de Pesquisa; Biblioteca Digital Brasileira de Teses e Dissertações; e a Espacenet do Escritorio Europeu de Patentes. Os resultados alcançados foram 1) a criação e apresentação de uma sistemática para coleta, tratamento e análise de informações 2) indicadores para a área tratada. Conclui-se que as Informações em Ciência e Tecnologia, com acesso aberto, permitem uma democrática geração de conhecimentos para este contexto. As fontes de informação e o conjunto de ferramentas levantadas possibilitaram a elaboração de indicadores capazes de elucidar múltiplas dimensões da produção científica e tecnológica – de pesquisadores e grupos de pesquisa – além do ensino e pesquisa na pós-graduação. Os indicadores obtidos e sua aplicação reforçam o objetivo do processo de data mining, no sentido de transformar dados em informação a ser empregada no processo decisório das organizações que se dedicam à preservação e a inovação do conhecimento.

Submitted by Priscilla Araujo (priscilla@ibict.br) on 2016-08-09T16:03:56Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) cassia costa rocha_mestrado_2014.pdf: 3735326 bytes, checksum: d3e67d743c134b69403ba23833a51cac (MD5) / Made available in DSpace on 2016-08-09T16:03:56Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) cassia costa rocha_mestrado_2014.pdf: 3735326 bytes, checksum: d3e67d743c134b69403ba23833a51cac (MD5) Previous issue date: 2014-03-28 / No contexto da crise ecológica, aponta os principais impactos socioambientais, ocasionados pelo modelo de produção e consumo baseados no crescimento econômico. Aborda o escopo das propostas do desenvolvimento sustentável, economia verde e decrescimento, que por caminhos distintos visam conter o agravamento da crise ecológica. Denuncia o quadro de desinformação programada sobre os efeitos da exploração dos recursos naturais. Por esse motivo, ressalta a importância da informação ambiental para tomada de decisão e mobilização social em prol da preservação dos ecossistemas. Destaca o papel estratégico das energias renováveis, sobretudo, da energia eólica no cenário da crise ecológica. Identifica as propriedades da tecnologia eólica, bem como o panorama mundial em relação ao uso dessa fonte, com ênfase para sua participação na matriz elétrica brasileira. Discute as dinâmicas do processo de inovação, e evidencia sua relevância para a estruturação do setor eólico no Brasil. Associa as inovações promovidas no referido setor as eco-inovações. Evidencia a contribuição da PD&I ao aperfeiçoamento tecnológico referente ao aproveitamento da energia eólica. Realiza um mapeamento dos grupos de pesquisa que tratam sobre energia eólica no Diretório de Grupos de Pesquisa no Brasil do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), e avalia as informações compiladas. Investiga se as pesquisas desenvolvidas pelos grupos contemplam as demandas tecnológicas do setor eólico, delineadas no estudo "Análises e percepções para o desenvolvimento de uma política de CT&I no fomento da energia eólica no Brasil", publicado pelo Centro de Gestão e Estudos Estratégicos (CGEE). Conclui, a partir da análise dos resultados do questionário aplicado, que existe um ambiente favorável ao avanço do setor eólico brasileiro, no que concerne as pesquisas científicas desenvolvidas em áreas consideras estratégicas / In the context of the ecological crisis, highlights the main environmental impacts caused by the production and consumption model based on economic growth. Discusses the scope of the proposed sustainable development, green economy and decrease, which in different ways seek to contain the worsening ecological crisis. Denounces the box programmed misinformation about the effects of the exploitation of natural resources. For this reason, emphasizes the importance of environmental information for decision making and social mobilization in favor of the preservation of ecosystems. Highlights the strategic role of renewable energy, especially wind power in scenario of ecological crisis. Identifies the properties of wind technology, as well as the world stage regarding the use of this source, with emphasis on its participation in the Brazilian energy matrix. Discusses the dynamics of the innovation process, and demonstrates its relevance to the structure of the wind industry in Brazil. Associates promoted innovations in that sector of eco-innovations. Evidence the contribution of PD&I to the technological improvement regarding the use of wind energy. Performs a mapping of research groups that deal with wind energy in the Research Groups Directory at Brazil 's National Council for Scientific and Technological Development (CNPq), and evaluates the compiled information. Investigates if the research developed by the groups include the technological demands of the wind industry, outlined in the study "Analyzes and insights for the development of a policy of CT&I in promoting of wind energy in Brazil", published by the Center for Management and Strategic Studies (CGEE). Concludes, from the analysis of the results of the applied questionnaire, there is a favorable environment for the advancement of Brazilian wind industry, regarding the developed scientific research in strategic areas.

Made available in DSpace on 2016-04-04T18:36:22Z (GMT). No. of bitstreams: 1 Amauri Ramos1.pdf: 5520924 bytes, checksum: e26630274b4a50c9e7f79aa8dc49de04 (MD5) Previous issue date: 2006-10-05 / The computers and the Internet in the universities and organisms of research have been shown as an element with potential for the dynamization of the construction, use and dissemination of the information for the collaborative work of the research groups. However, it is not evident the use of specialized information systems for support this modality of work. In this context , the present research has as objective analyze which is the effective use of information systems, appropriated to support to the collaborative work, by research groups for the accomplishment of its works in a collaborative way. As foundation to above-mentioned analysis, firstly attempts to present the concepts of collaborative work, research groups and Computer Supported Collaborative Work, that show basic for the best understanding of the virtues, deficiencies and implications that result of the use of such systems. As second stage of this work, attempting to collect enough information for the construction of the inferences that constructed its conclusions, questionnaires to the leaders of the registered research groups in the Directory of Groups of Research in Brazil of the Lattes Platform of CNPq were applied. / Os computadores e a Internet nas universidades e organismos de pesquisa t?m se mostrado um elemento com potencial para a dinamiza??o da constru??o, uso e dissemina??o da informa??o para o trabalho colaborativo dos grupos de pesquisa. Por?m, n?o ? evidente o uso de sistemas de informa??o especializados para apoiar essa modalidade de trabalho. Nesse cen?rio, a presente pesquisa tem como objetivo analisar qual ? a efetiva utiliza??o de sistemas de informa??o, pr?prios para o apoio ao trabalho colaborativo, por grupos de pesquisa para a realiza??o de seus trabalhos de forma colaborativa. Como alicerce ? analise supracitada, busca-se primeiramente apresentar os conceitos de trabalho colaborativo, grupos de pesquisa e Computer Supported Collaborative Work, que se mostram fundamentais para a melhor compreens?o das virtudes, defici?ncias e implica??es que resultam do uso de tais sistemas. Como segunda etapa deste trabalho, buscando coletar informa??es suficientes para a constru??o das infer?ncias que fomentaram suas conclus?es, foram aplicados question?rios aos l?deres dos grupos de pesquisa cadastrados no Diret?rio de Grupos de Pesquisa no Brasil da Plataforma Lattes do CNPq.

Aquesta tesi forma part d'un projecte destinat a predir el rendiment acadèmic dels estudiants de doctorat portat a terme per l'INSOC (International Network on Social Capital and Performance). El grup de recerca INSOC està format per les universitats de Girona (Espanya), Ljubljana (Eslovènia), Giessen (Alemanya) i Ghent (Bèlgica). El primer objectiu d'aquesta tesi és desenvolupar anàlisis quantitatius comparatius sobre el rendiment acadèmic dels estudiants de doctorat entre Espanya, Eslovènia i Alemanya a partir dels resultats individuals del rendiment acadèmic obtinguts de cada una de les universitats. La naturalesa internacional del grup de recerca implica la recerca comparativa. Vam utilitzar variables personal, actitudinals i de xarxa per predir el rendiment. El segon objectiu d'aquesta tesi és entendre de manera qualitativa perquè les variables de xarxa no ajuden quantitativament a predir el rendiment a la universitat de Girona (Espanya). En el capítol 1, definim conceptes relacionats amb el rendiment i donam un llistat de cada una de les variables independents (variables de xarxa, personals i actitudinals), resumint la lliteratura. Finalment, explicam com s'organitzen els estudis de doctorat a cada un dels diferents països. A partir d'aquestes definicions teòriques, en els pròxims capítols, primer presentarem els qüestionaris utilitzats a Espanya, Eslovènia i Alemanya per mesurar aquests diferents tipus de variables. Després, compararem les variables que són relevants per predir el rendiment dels estudiants de doctorat a cada país. Després d'això, fixarem diferents models de regressió per predir el rendiment entre països. En tots aquests models les variables de xarxa fallen a predir el rendiment a la Universitat de Girona. Finalment, utilitzem estudis qualitatius per entendre aquests resultats inesperats. En el capítol 2, expliquem com hem dissenyat i conduït els qüestionaris en els diferents països amb l'objectiu d'explicar el rendiment dels estudiants de doctorat obtinguts a Espanya, Eslovènia i Alemanya. En el capítol 3, cream indicadors comparables però apareixen problemes de comparabilitat en preguntes particulars a Espanya, Eslovènia i Alemanya. En aquest capítol expliquem com utilitzem les variables dels tres països per crear indicadors comparables. Aquest pas és molt important perquè el principal objectiu del grup de recerca INSOC és comparar el rendiment dels estudiants de doctorat entre els diferents països. En el capítol 4 comparem models de regressió obtinguts de predir el rendiment dels estudiants de doctorat a les universitats de Girona (Espanya) i Eslovènia. Les variables són característiques dels grups de recerca dels estudiants de doctorat enteses com una xarxa social egocèntrica, característiques personals i actitudinals dels estudiants de doctorat i algunes carecterístiques dels directors. Vam trobar que les variables de xarxa egocèntriques no predien el rendiment a la Universitat de Girona. En el capítol 5, comparem dades eslovenes, espanyoles i alemnayes, seguint la metodologia del capítol 4. Concluïm que el cas alemany és molt diferent. El poder predictiu de les variables de xarxa no millora. En el capítol 6 el grup de recerca dels estudiants de doctorat és entès com una xarxa duocèntrica (Coromina et al., 2008), amb l'objectiu d'obtendre informació de la relació mútua entre els estudiants i els seus directors i els contactes d'ambdós amb els altres de la xarxa. La inclusió de la xarxa duocèntrica no millora el poder predictiu del model de regressió utilitzant les variales egocèntriques de xarxa. El capítol 7 pretèn entendre perquè les variables de xarxa no predeixen el rendiment a la Universitat de Girona. Utilitzem el mètode mixte, esperant que l'estudi qualitatiu pugui cobrir les raons de perquè la qualitat de la xarxa falla en la qualitat del treball dels estudiants. Per recollir dades per l'estudi qualitatiu utilitzem entrevistes en profunditat. / This thesis belongs to a wider project designed to predict PhD students' academic performance carried out by the INSOC (International Network on Social Capital and Performance). The INSOC research group is composed by the universities of Girona (Spain), Ljubljana (Slovenia), Giessen (Germany) and Ghent (Belgium). The first aim of this thesis is to develop quantitative comparative analyses about the PhD students' academic performance across Spain, Slovenia and Germany from the individual academic performance results obtained in each university member. The international nature of the research group implies that we strongly emphasize comparative research. We use together background variables, attitudinal variables and social network variables for predicting performance. The second aim of this thesis is to qualitatively understand why network variables fail to quantitatively predict performance in the University of Girona (Spain). Thus, this thesis fit into the multimethod tradition. In Chapter 1, we define concepts related with performance and we give a list of each of the independent variables (social network, background and attitudinal variables) with a literature summary. Finally, we explain how PhD studies are organaized in the different countries. Drawing from these theoretical explanations, in the next chapters we first present the questionnaires used in Spain, Slovenia and Germany to measure these different types of variables. Then, we compare the variables which are relevant in order to predict PhD student performance in each country. After that, we fit alternative regression models to predict performance across countries. In all these models network variables fail to predict performance in the University of Girona. Finally, we use a qualitative study to understand this unexpected result. In Chapter 2, we explain how we designed and conducted a survey in the different countries with the aim of explaining the PhD students' performance obtained in Spain, Slovenia and Germany. In Chapter 3, we create comparable indicators wherever some comparability problems arose with particular questions in Spain, Slovenia and Germany. In this chapter we explain how we used all three countries' variables in order to create comparable indicators. This step is very important because the main goal of the INSOC research group is to compare the PhD student's performance between the different countries. In Chapter 4 we compare regression models obtained to predict PhD students' academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student's research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. We find that egocentered network variables do not predict performance in the University of Girona. In Chapter 5 we compare the Slovenian, Spanish and German data, following the methodology used in Chapter 4. We conclude that the German case is very different. Predictive power of network variables does not improve. In Chapter 6 the PhD student's research group is understood as a duocentered social network (Coromina et al., 2008), in order to obtain information regarding the mutual relationship between PhD students and their supervisor and the ties of both to their alters in the network. The inclusion of duocentered network variables does not improve the predictive power of the regression model using egocentered network variables. Chapter 7 attempts to understand why networks fail to predict performance in the University of Girona. Using the mixed method approach, we expect that a qualitative study can uncover the reasons why the quality of the networks fails to translate into the quality of the students' work. For data collection in the qualitative research we used in-depth interviews.

Ist die Zitationsanalyse ein geeignetes Instrument zur Forschungsevaluation? Diese Dissertation untersucht, ob die zugrunde liegenden Zitationsdaten ausreichend fehlerfrei sind, um aussagekräftige Ergebnisse der Analysen zu erzielen, beziehungsweise sollte dies nicht der Fall sein, ob der Prozess, der die zitierenden und zitierten Artikel einander zurordnet, ausreichend robust gegenüber Ungenauigkeiten in den Daten ist. Ungenauigkeiten wurden als Unterschiede in den Datenwerten der bibliographischen Angaben definiert. Die untersuchten Daten setzen sich aus gezielt ausgewählten Publikationen des Web of Science (WoS) zusammen, welche eine geschichtete Stichprobe ergeben. Die bibliographischen Daten von 3.929 Referenzen wurden in einer qualitativen Inhaltsanalyse bewertet und die bibliographischen Ungenauigkeiten in einer Taxonomie zusammengefasst. Um genau festzulegen, welche von diesen tatsächlich den Zuordnungsprozess von Zitationen beeinflussen, wurde eine spezifische Untergruppe von Zitationen, d.h. Zitationen die von WoS nicht erfolgreich dem jeweilig zitierten Artikel zugeordnet wurden, untersucht. Die Ergebnisse wurden mit den Daten zweier weiterer bibliographischen Datenbanken, Scopus und Google Scholar, sowie den Daten dreier angewandter bibliometrischer Forschungsgruppen, CWTS, iFQ und Science-Metrix, trianguliert. Die Zuordnungsalgorithmen von CWTS und iFQ konnten rund zwei Drittel dieser Zitierungen erfolgreich zuordnen. Scopus und Google Scholar konnten ebenso über 60% der fehlenden Zitierungen erfolgreich mit dem entsprechenden zitierten Artikel verbinden, während Science-Metrix nur eine geringe Anzahl an Referenzen (5%) schaffte. Vollkommen falsche erste Seitenzahlen sowie Zahlendreher in Publikationsjahren können in allen Datenquellen nicht richtig zugeordnete Zitierungen verursachen. Basierend auf den Ergebnissen wurden Lösungsvorschläge formuliert, die im Stande sind den Zuordnungsprozess von Zitationen in bibliometrischen Datenquellen zu verbessern. / Is citation analysis an adequate tool for research evaluation? This doctoral research investigates whether the underlying citation data is sufficiently accurate to provide meaningful results of the analyses and if not, whether the citation matching process can rectify inaccurate citation data. Inaccuracies are defined as discrepancies in the data values of bibliographic references, since they are the essential part in the citation matching process. A stratified, purposeful data sample was selected to examine typical cases of publications in Web of Science (WoS). The bibliographic data of 3,929 references was assessed in a qualitative content analysis to identify prevailing inaccuracies in bibliographic references that can interfere with the citation matching process. The inaccuracies were categorized into a taxonomy. Their frequency was studied to determine any strata-specific patterns. To pinpoint the types of inaccuracies that influence the citation matching process, a specific subset of citations, i.e. citations not successfully matched by WoS, was investigated. The results were triangulated with five other data sources: with data from two bibliographic databases in their role as citation indexes (Scopus and Google Scholar) and with data from three applied bibliometric research groups (CWTS, iFQ and Science-Metrix). The matching algorithms of CWTS and iFQ were able to match around two thirds of these citations correctly. Scopus and Google Scholar also handled more than 60% successfully in their matching. Science-Metrix only matched a small number of references (5%). Completely incorrect starting page numbers and transposed publication years can cause a citation to be missed in all data sources. However, more often it is a combination of more than one kind of inaccuracy in more than one field that leads to a non-match. Based on these results, proposals are formulated that could improve the citation matching processes of the different data sources.