Producción internacional sobre la ciencia orientada a los datos: análisis de los términos Data Science e e-Science en Scopus y la Web of Science
DOI:
https://doi.org/10.5433/1981-8920.2016v21n2p40Palabras clave:
Palabras clave, Data Science, e-Science, Ciencia Orientada a los Datos, Producción Científica.Resumen
Introducción: La configuración actual en la dinámica de la producción y la comunicación científica revela el protagonismo de la Ciencia Orientada a los Datos, una concepción integral representada, principalmente, por términos como "e-Science" y "Data Science".Objetivo: Presentar la producción científica mundial relativa a la Ciencia Orientada a los Datos a partir de los términos "e-Science" y "Data Science" en Scopus y la Web of Science en el período 2006 - 2016.
Metodología: El estudio se divide en cinco etapas: a) búsqueda de información en las bases de datos Scopus y la Web of Science; b) obtención de los registros bibliométricos; c) complementación de las palabras clave; d) corrección y cruce de los datos; e) representación analítica de los datos.
Resultados: Los términos más importantes en la producción científica analizada fueron Distributed computer systems (2006), Grid computing (2007-2013) e Big data (2014-2016). En el área de Biblioteconomía y Ciencia de la Información, se hace énfasis en los temas Digital Library y Open Access, evidenciando la importancia del campo en las discusiones sobre los dispositivos para proporcionar acceso a la información científica en los medios digitales.
Conclusiones: Bajo una mirada diacrónica, se constata un cambio visible de la atención que se prestaba a las temáticas enfocadas en las operaciones de intercambio de datos, para una perspectiva analítica de búsqueda de patrones en grandes volúmenes de datos.
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BORGATTI, Stephen P.; EVERETT, Martin G.; FREEMAN, Lin C. UCINET for windows: software for social network analysis. Harvard: Analytic Technologies, 2002.
BUSH, Vannevar. As we may think. Atlantic Monthly, Washington, v. 176, n. 1, p. 101-108, 1945.
CAO, Junwei; JARVIS, Stephen A.; SAINI, Subhash; NUDD, Graham R. GridFlow: workflow management for grid computing. In: CLUSTER COMPUTING AND THE GRID, 3., 2003, Washington. Proceedings [...]. Washington: IEEE/ACM, 2003. p. 198-205. Disponível em: http://dx.doi.org/10.1109/ CCGRID.2003.1199369. Acesso em: 1 jul. 2016.
CHADEGANI, Arezoo Aghaei; SALEHI, Hadi; YUNUS, Melor Md.; FARHADI, Hadi; FOOLADI, Masood; FARHADI, Maryam; EBRAHIM, Nader Ale. A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, Toronto, v. 9, n. 5, p. 18-26, 2013. Disponível em: https://arxiv.org/ftp/arxiv/ papers/1305/1305.0377.pdf. Acesso em: 23 jun. 2016.
CLEVELAND, William S. Data science: an action plan for expanding the technical areas of the field of Statistics. International Statistical Review, Malden, v. 69, n. 1, p. 21-26, 2001.
COSTA, Maira Murriera; CUNHA, Murilo Bastos. O bibliotecário no tratamento de dados oriundos da e-Science: considerações iniciais. Perspectivas em Ciência da Informação, Belo Horizonte, v. 19, n. 3, p. 189-206, 2014. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413- 99362014 000300010&lng=en&nrm=iso. Acesso em: 14 jul. 2016.
CRAGIN, Melissa H.; PALMER, Carole L.; CARLSON, Jacob R.; WITT, Michael. Data sharing, small science and institutional repositories. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, London, v. 368, n. 1926, p. 4023-4038, 2010. Disponível em: https://royalsocietypublishing.org/doi/epdf/10.1098/rsta.2010.0165. Acesso em: 15 jul. 2022.
DEELMAN, Ewa; GANNON, Dennis; SHIELDS, Matthew; TAYLOR, Ian. Workflows and e-Science: An overview of workflow system features and capabilities. Future Generation Computer Systems, Amsterdam, v. 25, n. 5, p. 528-540, 2009.
FARACE, Dominic; FRANTZEN, Jerry; SESINK, Laurents; STOCK, Christiane; RABINA, Debbie. Linking full-text Grey Literature to underlying research and post-publication data: An Enhanced Publications Project. Grey Journal (TGJ), Amsterdam, v. 8, n. 3, p. 181, 2012.
FIENBERG, Stephen E.; MARTIN, Margaret E.; STRAF, Miron L. (ed.). Sharing research data. Washington: National Academy Press, 1985.
GARFIELD, Eugene. Keywords plus: ISI's breakthrough retrieval method Part I Expanding your searching power on current contents on diskette. Current Contents, Woodbury, n. 32, p. 5-9, 1990.
HEUVEL, Henk van den; HORIK, René van; SCAGLIOLA, Stef; SANDERS, Eric; WITKAMP, Paula. The veterantapes: research corpus, fragment processing tool, and enhanced publications for the e-humanities. In: INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 7., 2010, Malta. Proceedings [...]. Malta, 2010. p. 2687-2692. Disponível em: http://www.lrecconf.org/proceedings/lrec2010/pdf/328_Paper.pdf. Acesso em: 27 jun. 2016.
HEY, Tony; TREFETHEN, Anne Elizabeth. Cyberinfrastructure for e-Science. Science, New York, v. 308, n. 5723, p. 817-821, 2005.
HOPPEN, Natascha Helena Franz; VANZ, Samile Andréa de Souza. Tendências da pesquisa brasileira em neurociências. In: ENCONTRO BRASILEIRO DE BIBLIOMETRIA E CIENTOMETRIA, 4., 2014, Recife. Anais [...]. Recife: UFPE, 2014. p. 1-4. Disponível em: http://basessibi.c3sl.ufpr.br/brapci/_repositorio/2014/05/pdf_c714184cab_0014376.pdf. Acesso em: 27 jun. 2016.
HOWE, Authorship Doug; COSTANZO, Maria; FEY, Petra; GOJOBORI, Takashi; HANNICK, Linda; HIDE, Winston; HILL, David P.; KANIA, Renate; SCHAEFFER, Mary; PIERRE, Susan St.; TWIGGER, Simon; WHITE, Owen; RHEE, Seung Yon. Big data: the future of biocuration. Nature, London, v. 455, n. 7209, p. 47-50, 2008.
JENG, Judy. What is usability in the context of the digital library and how can it be measured?. Information Technology and Libraries, Chicago, v. 24, n. 2, 2005.
KARASTI, Helena; BAKER, Karen S.; HALKOLA, Eija. Enriching the notion of data curation in e-Science: data managing and information infrastructuring in the long term ecological research (LTER) network. Computer Supported Cooperative Work (CSCW), Netherlands, v. 15, n. 4, p. 321-358, 2006.
MARCONDES, Carlos H.; COSTA, Leonardo C. A model to represent and process scientific knowledge in biomedical articles with semantic web technologies. Knowledge Organization, Wurzburg, v. 43, n. 2, p. 86-101, 2016.
PAGÉS, Teresa; BLASCO MÍNGUEZ, Josefina; FERNÁNDEZ BORRÁS, Jaume; VISCOR CARRASCO, Ginés. Monitorización por telemetría: implantación subcutánea de dispositivos telemétricos en rata: preparación terminal antena negativa. [S. l.: s. n.], 2009. Disponível em: http://www.mdx.cat/handle/10503/8894?localeattribute=es. Acesso em: 24 ago. 2016.
SHIFFRIN, Richard M. Drawing causal inference from big data. Proceedings of the National Academy of Sciences, Washington, v. 113, n. 27, p. 7308-7309, 2016.
THOMSON, Reuters. Web of science: quick reference card. Philadelphia: Thomson Reuters, 2010.
BUSH, Vannevar. As we may think. Atlantic Monthly, Washington, v. 176, n. 1, p. 101-108, 1945.
CAO, Junwei; JARVIS, Stephen A.; SAINI, Subhash; NUDD, Graham R. GridFlow: workflow management for grid computing. In: CLUSTER COMPUTING AND THE GRID, 3., 2003, Washington. Proceedings [...]. Washington: IEEE/ACM, 2003. p. 198-205. Disponível em: http://dx.doi.org/10.1109/ CCGRID.2003.1199369. Acesso em: 1 jul. 2016.
CHADEGANI, Arezoo Aghaei; SALEHI, Hadi; YUNUS, Melor Md.; FARHADI, Hadi; FOOLADI, Masood; FARHADI, Maryam; EBRAHIM, Nader Ale. A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, Toronto, v. 9, n. 5, p. 18-26, 2013. Disponível em: https://arxiv.org/ftp/arxiv/ papers/1305/1305.0377.pdf. Acesso em: 23 jun. 2016.
CLEVELAND, William S. Data science: an action plan for expanding the technical areas of the field of Statistics. International Statistical Review, Malden, v. 69, n. 1, p. 21-26, 2001.
COSTA, Maira Murriera; CUNHA, Murilo Bastos. O bibliotecário no tratamento de dados oriundos da e-Science: considerações iniciais. Perspectivas em Ciência da Informação, Belo Horizonte, v. 19, n. 3, p. 189-206, 2014. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413- 99362014 000300010&lng=en&nrm=iso. Acesso em: 14 jul. 2016.
CRAGIN, Melissa H.; PALMER, Carole L.; CARLSON, Jacob R.; WITT, Michael. Data sharing, small science and institutional repositories. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, London, v. 368, n. 1926, p. 4023-4038, 2010. Disponível em: https://royalsocietypublishing.org/doi/epdf/10.1098/rsta.2010.0165. Acesso em: 15 jul. 2022.
DEELMAN, Ewa; GANNON, Dennis; SHIELDS, Matthew; TAYLOR, Ian. Workflows and e-Science: An overview of workflow system features and capabilities. Future Generation Computer Systems, Amsterdam, v. 25, n. 5, p. 528-540, 2009.
FARACE, Dominic; FRANTZEN, Jerry; SESINK, Laurents; STOCK, Christiane; RABINA, Debbie. Linking full-text Grey Literature to underlying research and post-publication data: An Enhanced Publications Project. Grey Journal (TGJ), Amsterdam, v. 8, n. 3, p. 181, 2012.
FIENBERG, Stephen E.; MARTIN, Margaret E.; STRAF, Miron L. (ed.). Sharing research data. Washington: National Academy Press, 1985.
GARFIELD, Eugene. Keywords plus: ISI's breakthrough retrieval method Part I Expanding your searching power on current contents on diskette. Current Contents, Woodbury, n. 32, p. 5-9, 1990.
HEUVEL, Henk van den; HORIK, René van; SCAGLIOLA, Stef; SANDERS, Eric; WITKAMP, Paula. The veterantapes: research corpus, fragment processing tool, and enhanced publications for the e-humanities. In: INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 7., 2010, Malta. Proceedings [...]. Malta, 2010. p. 2687-2692. Disponível em: http://www.lrecconf.org/proceedings/lrec2010/pdf/328_Paper.pdf. Acesso em: 27 jun. 2016.
HEY, Tony; TREFETHEN, Anne Elizabeth. Cyberinfrastructure for e-Science. Science, New York, v. 308, n. 5723, p. 817-821, 2005.
HOPPEN, Natascha Helena Franz; VANZ, Samile Andréa de Souza. Tendências da pesquisa brasileira em neurociências. In: ENCONTRO BRASILEIRO DE BIBLIOMETRIA E CIENTOMETRIA, 4., 2014, Recife. Anais [...]. Recife: UFPE, 2014. p. 1-4. Disponível em: http://basessibi.c3sl.ufpr.br/brapci/_repositorio/2014/05/pdf_c714184cab_0014376.pdf. Acesso em: 27 jun. 2016.
HOWE, Authorship Doug; COSTANZO, Maria; FEY, Petra; GOJOBORI, Takashi; HANNICK, Linda; HIDE, Winston; HILL, David P.; KANIA, Renate; SCHAEFFER, Mary; PIERRE, Susan St.; TWIGGER, Simon; WHITE, Owen; RHEE, Seung Yon. Big data: the future of biocuration. Nature, London, v. 455, n. 7209, p. 47-50, 2008.
JENG, Judy. What is usability in the context of the digital library and how can it be measured?. Information Technology and Libraries, Chicago, v. 24, n. 2, 2005.
KARASTI, Helena; BAKER, Karen S.; HALKOLA, Eija. Enriching the notion of data curation in e-Science: data managing and information infrastructuring in the long term ecological research (LTER) network. Computer Supported Cooperative Work (CSCW), Netherlands, v. 15, n. 4, p. 321-358, 2006.
MARCONDES, Carlos H.; COSTA, Leonardo C. A model to represent and process scientific knowledge in biomedical articles with semantic web technologies. Knowledge Organization, Wurzburg, v. 43, n. 2, p. 86-101, 2016.
PAGÉS, Teresa; BLASCO MÍNGUEZ, Josefina; FERNÁNDEZ BORRÁS, Jaume; VISCOR CARRASCO, Ginés. Monitorización por telemetría: implantación subcutánea de dispositivos telemétricos en rata: preparación terminal antena negativa. [S. l.: s. n.], 2009. Disponível em: http://www.mdx.cat/handle/10503/8894?localeattribute=es. Acesso em: 24 ago. 2016.
SHIFFRIN, Richard M. Drawing causal inference from big data. Proceedings of the National Academy of Sciences, Washington, v. 113, n. 27, p. 7308-7309, 2016.
THOMSON, Reuters. Web of science: quick reference card. Philadelphia: Thomson Reuters, 2010.
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2016-12-20
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Bufrem, L. S., Silva, F. M. e, Sobral, N. V., & Correia, A. E. G. C. (2016). Producción internacional sobre la ciencia orientada a los datos: análisis de los términos Data Science e e-Science en Scopus y la Web of Science. Informação & Informação, 21(2), 40–67. https://doi.org/10.5433/1981-8920.2016v21n2p40
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