A pilot study on the connection between scientific fields and patent classification systems
Methods to link academic research achievements with innovative industries have gained considerable awareness worldwide in recent years. Subsequently, responding to industries’ demand to reinforce the linkage between scientific research and industries is an issue awaiting urgent resolution for the government. Previous scientific pertaining to the linkage between scientific fields and (academic papers) technological fields (technology patents) primarily focus on non-patent research or university–industry collaboration. However, these studies failed to highlight the type of linkages between science and technological fields. Therefore, we conducted a pilot study to identify the core scientific fields in different technological fields. In addition to the proposed network maps linking scientific and technological fields, this study also identified the core scientific fields for patent development, including materials science, multidisciplinary; engineering, chemical; physics, applied; nanoscience and nanotechnology; and chemistry, physical. Due to the scarcity of research pertaining to the linkage of scientific fields and technological fields, the government, research and development units, and universities lack a framework for linking fundamental scientific research with the development of industry technologies. Therefore, in this study, we used an author–inventor network to analyze this research topic, expecting that the results can serve as a reference for further research.
KeywordsAuthor–inventor network Patent analysis Network analysis Classification system
Funding was provided by Ministry of Science and Technology of the Republic of China (Taiwan) (Grant No. Most 106-2410-H-492-002).
- Bassecoulard, E., & Zitt, M. (2004). Patents and publications: The lexical connection. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research: the use of publication and patent statistics in studies of S&T systems (pp. 665–694). Dordrecht, NL: Kluwer Academic Publishers.Google Scholar
- Lin, W. Y. C., Chen, D. Z., & Huang, M. H. (2011). Relation between technology and science: A perspective of patent and paper production. Journal of Educational Media & Library Sciences, 48(3), 303–323.Google Scholar
- Noyons, E. C. M., Buter, R. K., van Raan, A. F. J., Schmoch, U., Heinze, T., Hinze, S., & Rangnow, R. (2004). Mapping excellence in science and technology across Europe: Nanoscience and nanotechnology. Leiden, NL: Centre for Science and Technology Studies (CWTS), Leiden University.Google Scholar
- OECD. (2008). Compendium of patent statistics. Paris, FR: OECD.Google Scholar
- Schmoch, U., Dornbusch, F., Mallig, N., Michels, C., Schulze, N., & Bethke, N. (2012). Vollständige Erfassung von Patentan-meldungen aus Universitäten. http://www.isi.fraunhofer.de/isi-wAssets/docs/p/de/publikationen/Endbericht-Unipatente-Maerz-2012.pdf. Accessed 5 July 2017.
- Testa, J. (2016). The Thomson Reuters journal selection process. http://thomsonreuters.com/products_services/science/free/essays/journal_selection_process/. Accessed 23 October 2016.
- Thomson Reuters (2014). Incites indicators handbook. http://researchanalytics.thomsonreuters.com/m/pdfs/indicators-handbook.pdf. Accessed 10 July 2017.
- Thomson Reuters (2016). Web of Science subject areas. http://incites.isiknowledge.com/common/help/h_field_category_wos.html. Accessed 23 October 2016.
- White, M. (2010). Patent searching: Back to the future how to use patent classification search tools to create better searches. In First Annual Conference of the Canadian Engineering Education Association, Kingston, Ontario.Google Scholar
- WIPO (2013). The IPC-technology concordance table. http://www.wipo.int/ipstats/en/statistics/technology_concordance.html. Accessed 26 October 2016.
- WIPO. (2016). 2016 World intellectual property indicators. Geneva, CH: World Intellectual Property Organization.Google Scholar