SiSOB data extraction and codification: A tool to analyze scientific careers

Aldo Geuna, Rodrigo Kataishi, Manuel Toselli, Eduardo Guzmán, Cornelia Lawson, Ana Fernandez-Zubieta, Beatriz Barros

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1645-1658
Number of pages14
JournalResearch Policy
Volume44
Issue number9
Early online date25 Feb 2015
DOIs
Publication statusPublished - 1 Nov 2015

Keywords

  • Academic careers
  • Extraction and data integration
  • Information retrieval
  • Mobility of research scientists
  • Research productivity

ASJC Scopus subject areas

  • Engineering(all)
  • Management of Technology and Innovation
  • Strategy and Management
  • Management Science and Operations Research

Fingerprint Dive into the research topics of 'SiSOB data extraction and codification: A tool to analyze scientific careers'. Together they form a unique fingerprint.

Cite this