Orientador: Ely Francina Tannuri de Oliveira / Banca: José Augusto Chaves Guimarães / Banca: Paulo Roberto Francischini de Carvalho / Resumo: Esta pesquisa objetiva identificar quantitativamente todas as patentes, quer sejam de invenção, modelos de utilidades, marcas, desenho industrial e criação de softwares, no âmbito da Universidade Estadual Paulista (UNESP), procurando destacar os pesquisadores mais produtivos, suas temáticas e colaborações existentes, tanto no âmbito individual como no âmbito institucional. A partir dos dados quantitativos procura-se descrever e analisar os pesquisadores mais produtivos, as parcerias estabelecidas entre eles e as parcerias estabelecidas entre as instituições às quais pertencem. Justifica-se esta pesquisa, especialmente, pela necessidade de se conhecer e dar visibilidade aos registros de patentes no âmbito da UNESP, e, ainda, pela inexistência de trabalhos dessa natureza na referida universidade. Como procedimento de pesquisa, analisou-se o documento fornecido pela Agência UNESP de Inovação-AUIN, contendo a relação das patentes depositadas em nome da UNESP, de 1980 até 2010. Categorizou-se as mesmas segundo as seguintes tipologias: patentes de invenção (PI), modelos de utilidade (MU), marcas e desenho industrial (DI), todas distribuídas de acordo com a tabela de áreas do Conhecimento do CNPq (grande área e área): Ciências Agrárias (grande área) e Medicina Veterinária e Zootecnia (áreas); Ciências Biológicas (grande área) e Botânica e Microbiologia (áreas); Ciências Exatas e da Terra (grande área) e Física, Química, Ciência da Computação, Probabilidade Estatística e Geociências (áreas); Ciências da Saúde (grande área) e Farmácia, Medicina e Odontologia (áreas); Engenharia (grande área) e Engenharia de Materiais e Metalúrgica e Engenharia Mecânica (áreas). Destacou-se os inventores mais produtivos e suas respectivas temáticas, segundo as unidades e/ou faculdades de origem. Como... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: This research aims to quantitatively identify all patents, whether an invention, utility models, trademarks, industrial design and software design within UNESP - Universidade Estadual Paulista, seeking to highlight the most productive researchers, their themes and existing collaborations, both as individual as the institutional framework. From the quantitative data it is sought to describe and analyze the most productive researchers, the partnerships established between them and also the partnerships between the institutions to which they belong. This is appropriate for this research, especially by the needs of knowing and giving visibility to the records of patents at UNESP, considering the lack of such work at the University. As a research procedure, we analyzed the documents provided by UNESP Technology Transfer Office - AUIN, containing a list of patents filed on behalf of UNESP, from 1980 to 2010. They were categorized according to the following types: Patent (PI), utility models (MU), trademarks (TM) and industrial design (ID), all distributed according to the table of areas of Knowledge of CNPq (large area and area): Agricultural Sciences (large area) and Veterinary Medicine (areas), Biological Sciences (large area) and Botany and Microbiology (areas), Exact Sciences and Earth (large area) and Physics, Chemistry, Computer Science, Probability Statistics and Geosciences (areas); Health Sciences (large area) and Pharmacy, Medicine and Dentistry (areas), engineering (large area) and Metallurgical and Materials Engineering and Mechanical Engineering (areas). Stood out the most productive inventors and their respective themes, according to the units and/or college of origin. As search results, considering the total of 114 patent applications, IQ (Institute of Chemistry) at Araraquara had 29 records, the largest number... (Complete abstract click electronic access below) / Mestre

This version of the paper contains an appendix with a list of book titles that was omitted from the version published in the conference proceedings. / The aim of this study is to analyze the development of library and information science through its publications written by librarians, scholars, and others who are interest to the field in Indonesia since 1952 to 2005. The book publication is limited to the scientific books that contain the knowledge of the library and information science. The analysis is focused on the kind of books, the subjects, the publication, the originality of books, and the writers. The study uses the content analysis approach that is named as bolometric study. This knowledge is needed as references to develop the science and to create more literatures with the various, innovative, and constructive ideas in the future. This version of the paper contains an appendix with a list of book titles that was omitted from the version published in the conference proceedings.

Computational infrastructure for reprenting persons and citations has been available in R for several years, but has been restructured through enhanced classes "person" and "bibentry" in recent versions of R. The new features include support for the specification of the roles of package authors (e.g.,maintainer, author, contributor, translator, etc.) and more flexible formatting/printing tools among various other improvements. Here, we introduce the new classes and their methods and indicate how this functionality is employed in themanagement of R packages. Specifically, we show how the authors of R packages can be specified along with their roles in package 'DESCRIPTION' and/or 'CITATION' files and the citations produced from it. (author's abstract) / Series: Research Report Series / Department of Statistics and Mathematics

This study investigated the distribution of bibliographic records amongst online bibliographic databases. The topic of Fuzzy Set Theory over the period of 1965 to 1993 was chosen to provide the case study for this investigation. From the DIALOG database host, searches were conducted on 114 databases to determine the number of journal article records relating to the topic of Fuzzy Sets. Both the number of records in each database, as well as the overlap of coverage between the databases were calculated. Six counting techniques were developed to allocate records to databases based on different methods for handling records that were duplicated between databases. When duplicate records are included, the top database accounts for 19% of the records; when duplicates are removed, the top database was found to account for 37% of the records. The distribution of records in databases was found to conform to the Bradford-Zipf hyperbolic distribution. Various other analyses were undertaken including: the duplicate records themselves, the total size of the DIALOG database system over time and the density of Fuzzy Set records in databases over time. A secondary aim of this study was to perform an informetric study on the literature of Fuzzy Set Theory itself. Results obtained include an analysis of the growth of the Fuzzy Set literature, an analysis of the journals covering the topic of Fuzzy Sets, an analysis of the terminology used in describing topics related to Fuzzy Sets. Also, the Ulrich's database was used to provide a subject classification of the journals to analyse the diffusion of the topic of Fuzzy Sets into other disciplines. Apart from the discipline of mathematics, the top disciplines into which Fuzzy Sets have diffused were found to be applied physics, systems and computing. The third aim of the thesis was to refine and develop the methodology used to perform large scale informetric studies using data from a variety of online bibliographic databases. Commercially available software was used wherever possible, but where this was not possible or infeasible, custom written programs were developed to perform various steps in the methodology.

Thesis (Ph. D.)--University of Texas at Austin, 1999. / Vita. Includes bibliographical references (leaves 171-178). Available also in a digital version from Dissertation Abstracts.

Interdisciplinarity among Academic Scientists: Individual and Organizational Factors Fang Xiao 139 Pages Directed by Dr. Julia E. Melkers Drawing on a wide variety of social science theories, this study investigates the effects of tenure system, university climate for interdisciplinary research (IDR), gender, and industry experience on academic scientists’ engagement in IDR in different disciplines. Using survey and bibliometric data, two dependent variables are generated to measure production aspects of IDR: the self-reported percentage of IDR papers which is from researchers’ own estimate of their IDR papers responding to one survey question, and the calculated percentage of IDR papers which is a combination of two bibliometric indicators of scientists’ borrowing and boundary crossing activities. Results find that our conventional wisdom about the effects of some individual and organizational factors on scientists’ propensity to engage in IDR is outdated, and their effects depend on the disciplinary contexts. These findings suggest science policy makers, funding agencies and university administrators to keep fresh and informed about scientists’ research activities and underlying context and take full into account of distinct characteristics of different disciplines when they make or reform policies to encourage IDR work.

published_or_final_version / Medical Sciences / Master / Master of Medical Sciences

The paper Fundamental methodologies and tools for the employment of webometric analyses defines the most important rules to keep in mind before performing webometric analyses. The paper deals with the two basic elements, that constitutes the foundation for webometric analyses: the documents being analysed, and the tools that are applied for the data collection. The concepts of a citation theory and a link theory are discussed through a study of the current litterature. Different methodologies for uncovering motivations for making references in scientific articles are reviewed and discussed. A methodology for uncovering motivations for making links on webpages is proposed and applied on six researchers' websites at the Royal School of Library and Information Science in Denmark, and on all the institutes at the same institution and at selected institutes at The Technical University of Denmark. The paper further contains a review on the linktopology of the Internet and the current status for the tools available for data collection. Finally, alternative possible tools for applying webometric analyses are proposed. The alternative tools are the Researchindex invented by Lawrence and Giles (Lawrence, Bollacker & Giles, 1999b; Giles, Bollacker & Lawrence, 1998), Kleinberg's HITS algorithm employed in the Clever search engine (The Clever Project, n.d.; Kleinberg, 1998), Proposals for possible extensions to the HTTP protocol to facilitate the collection and navigation of backlink information in the world wide web made by Chakrabarti, Gibson and McCurley (Chakrabarti, Gibson & McCurley, 1999c) and finally Link Agent, a program we have developed for this paper. The program makes it possible to uncover the reciprocal linking webpages, that exist in relation to the outgoing links from a chosen webpage. Keywords: Informetrics, Webometrics, Citation theory, Link theory, Motivations for links, Motivations for references, Search engines, Webometric tools

Authors: E. Bassecoulard, D. deB. Beaver, H.-J. Czerwon, M. Davis, K. Fuchs-Kittowski, L. Fuglsang, S. Gerasimova, W. Glänzel, J. Gläser, Y. Guo, F. Havemann, H. Kretschmer, R. Kundra, L. Lange, G. Laudel,,L. Liang, Z. Liu, U. Matzat, à . Must, Y. Okubo, R. Rousseau, S.L. Sangam, D. Tomov, R. Wagner-Döbler, Y. Wang, V. Wenzel, C.S. Wilson, Y. Wu, M. Zitt

Using data from SCI 1998, we have analysed international collaboration in science in 11 Asian countries. Papers resulting from collaboration among these countries and with G7, European Union, OECD and selected Latin American and African countries were classified under subject categories to characterize each countryâ s total and collaborated scientific literature output. Japan (16.4% of internationally collaborated papers), India (17.6%) and Taiwan (16.3%) recorded an internationalization index less than 30 whereas China (28.5%), South Korea (24.6%) and Hong Kong (36.2%) recorded an internationalization index greater than 40. India, China and South Korea have collaborated more in physics, whereas the other eight countries have collaborated more in life sciences. In almost all fields and for virtually all Asian countries, USA is the most preferred collaborating partner. All G7 countries collaborate more with China, which is emerging as a leader in regional collaboration, than with India.