International production on science oriented towards data: analysis of the terms data science and e-science in scopus and the web of science
DOI:
https://doi.org/10.5433/1981-8920.2016v21n2p40Keywords:
Data Science, e-Science, Science Oriented Towards Data, Scientific Production.Abstract
Introduction: current configuration in the dynamics of production and scientific communication reveals the role of Science Oriented Towards Data, a comprehensive conception represented, mainly, by terms such as "e-Science" and "Data Science".Objective: To present the global scientific production on Science Oriented Towards Data by using the terms "e-Science" and "Data Science" in Scopus and the Web of Science during 2006-2016.
Methodology: The study is divided into five phases: a) search for information in Scopus and the Web of Science data bases; b) obtaining bibliometric records; c) complementing keywords; d) data correction and crossing; e) analytical data representation.
Results: The most important terms within the analyzed scientific production were Distributed computer systems (2006), Grid computing (2007-2013) and Big data (2014- 2016). In the area of Library and Information Science, the emphasis was on Digital Library and Open Access issues, highlighting the importance of the field for the discussions on the devices providing access to scientific information in digital media.
Conclusions: Under a diachronic look, it was found a visible shift of focus, from issues approaching data exchange operations to an analytical perspective for finding patterns in large data volumes.
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References
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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Published
2016-12-20
How to Cite
Bufrem, L. S., Silva, F. M. e, Sobral, N. V., & Correia, A. E. G. C. (2016). International production on science oriented towards data: analysis of the terms data science and e-science in scopus and the web of science. Informação & Informação, 21(2), 40–67. https://doi.org/10.5433/1981-8920.2016v21n2p40
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