SiSOB data extraction and codification: A tool to analyze scientific careers
•The paper describes the methodology and software tool used to build a database on the careers and productivity of academics.•The software provides data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database.•The software develop...
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| Veröffentlicht in: | Research policy 2015-11, Vol.44 (9), p.1645-1658 |
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| creator | Geuna, Aldo Kataishi, Rodrigo Toselli, Manuel Guzmán, Eduardo Lawson, Cornelia Fernandez-Zubieta, Ana Barros, Beatriz |
| description | •The paper describes the methodology and software tool used to build a database on the careers and productivity of academics.•The software provides data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database.•The software developed is released under free software GNU General Public License.•The methodology and software tool are validated for a sample of US and UK biomedical scientists.•We show that CVs are a valuable source of data to identify the exact point and type of academic mobility.•It is important to differentiate between voluntary and forced mobility, as only the former is associated with higher research performance.
This paper describes the methodology and software tool used to build a database on the careers and productivity of academics, using public information available on the Internet, and provides a first analysis of the data collected for a sample of 360 US scientists funded by the National Institute of Health (NIH) and 291 UK scientists funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The tool’s structured outputs can be used for either econometric research or data representation for policy analysis. The methodology and software tool is validated for a sample of US and UK biomedical scientists, but can be applied to any countries where scientists’ CVs are available in English. We provide an overview of the motivations for constructing the database, and the data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database. We describe the database and the effectiveness of our algorithms and provide suggestions for further improvements. The software developed is released under free software GNU General Public License; the aim is for it to be available to the community of social scientists and economists interested in analyzing scientific production and scientific careers, who it is hoped will develop this tool further. |
| doi_str_mv | 10.1016/j.respol.2015.01.017 |
| format | Article |
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This paper describes the methodology and software tool used to build a database on the careers and productivity of academics, using public information available on the Internet, and provides a first analysis of the data collected for a sample of 360 US scientists funded by the National Institute of Health (NIH) and 291 UK scientists funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The tool’s structured outputs can be used for either econometric research or data representation for policy analysis. The methodology and software tool is validated for a sample of US and UK biomedical scientists, but can be applied to any countries where scientists’ CVs are available in English. We provide an overview of the motivations for constructing the database, and the data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database. We describe the database and the effectiveness of our algorithms and provide suggestions for further improvements. The software developed is released under free software GNU General Public License; the aim is for it to be available to the community of social scientists and economists interested in analyzing scientific production and scientific careers, who it is hoped will develop this tool further.</description><identifier>ISSN: 0048-7333</identifier><identifier>EISSN: 1873-7625</identifier><identifier>DOI: 10.1016/j.respol.2015.01.017</identifier><identifier>CODEN: REPYBP</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Academic careers ; Biological research ; Biotechnology ; Careers ; Data analysis ; Data mining ; Extraction and data integration ; Information retrieval ; Mobility of research scientists ; Public information ; Research productivity ; Scientists ; Software ; Studies ; United Kingdom ; United States</subject><ispartof>Research policy, 2015-11, Vol.44 (9), p.1645-1658</ispartof><rights>2015 The Authors</rights><rights>Copyright Elsevier Sequoia S.A. Nov 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-6bb96bc993886aab61f1ed4cc5ac063584b2fbf7eefa606ec56c8c9f451bc09c3</citedby><cites>FETCH-LOGICAL-c477t-6bb96bc993886aab61f1ed4cc5ac063584b2fbf7eefa606ec56c8c9f451bc09c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.respol.2015.01.017$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Geuna, Aldo</creatorcontrib><creatorcontrib>Kataishi, Rodrigo</creatorcontrib><creatorcontrib>Toselli, Manuel</creatorcontrib><creatorcontrib>Guzmán, Eduardo</creatorcontrib><creatorcontrib>Lawson, Cornelia</creatorcontrib><creatorcontrib>Fernandez-Zubieta, Ana</creatorcontrib><creatorcontrib>Barros, Beatriz</creatorcontrib><title>SiSOB data extraction and codification: A tool to analyze scientific careers</title><title>Research policy</title><description>•The paper describes the methodology and software tool used to build a database on the careers and productivity of academics.•The software provides data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database.•The software developed is released under free software GNU General Public License.•The methodology and software tool are validated for a sample of US and UK biomedical scientists.•We show that CVs are a valuable source of data to identify the exact point and type of academic mobility.•It is important to differentiate between voluntary and forced mobility, as only the former is associated with higher research performance.
This paper describes the methodology and software tool used to build a database on the careers and productivity of academics, using public information available on the Internet, and provides a first analysis of the data collected for a sample of 360 US scientists funded by the National Institute of Health (NIH) and 291 UK scientists funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The tool’s structured outputs can be used for either econometric research or data representation for policy analysis. The methodology and software tool is validated for a sample of US and UK biomedical scientists, but can be applied to any countries where scientists’ CVs are available in English. We provide an overview of the motivations for constructing the database, and the data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database. We describe the database and the effectiveness of our algorithms and provide suggestions for further improvements. 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This paper describes the methodology and software tool used to build a database on the careers and productivity of academics, using public information available on the Internet, and provides a first analysis of the data collected for a sample of 360 US scientists funded by the National Institute of Health (NIH) and 291 UK scientists funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The tool’s structured outputs can be used for either econometric research or data representation for policy analysis. The methodology and software tool is validated for a sample of US and UK biomedical scientists, but can be applied to any countries where scientists’ CVs are available in English. We provide an overview of the motivations for constructing the database, and the data crawling and data mining techniques used to transform webpage-based information and CV information into a relational database. We describe the database and the effectiveness of our algorithms and provide suggestions for further improvements. The software developed is released under free software GNU General Public License; the aim is for it to be available to the community of social scientists and economists interested in analyzing scientific production and scientific careers, who it is hoped will develop this tool further.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.respol.2015.01.017</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Academic careers Biological research Biotechnology Careers Data analysis Data mining Extraction and data integration Information retrieval Mobility of research scientists Public information Research productivity Scientists Software Studies United Kingdom United States |
| title | SiSOB data extraction and codification: A tool to analyze scientific careers |
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