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A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’

Author

Listed:
  • Ying Huang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Georgia Institute of Technology)

  • Jannik Schuehle

    (Karlsruhe Institute of Technology)

  • Alan L. Porter

    (Georgia Institute of Technology
    Search Technology, Inc.)

  • Jan Youtie

    (Georgia Institute of Technology)

Abstract

Bibliometric and “tech mining” studies depend on a crucial foundation—the search strategy used to retrieve relevant research publication records. Database searches for emerging technologies can be problematic in many respects, for example the rapid evolution of terminology, the use of common phraseology, or the extent of “legacy technology” terminology. Searching on such legacy terms may or may not pick up R&D pertaining to the emerging technology of interest. A challenge is to assess the relevance of legacy terminology in building an effective search model. Common-usage phraseology additionally confounds certain domains in which broader managerial, public interest, or other considerations are prominent. In contrast, searching for highly technical topics is relatively straightforward. In setting forth to analyze “Big Data,” we confront all three challenges—emerging terminology, common usage phrasing, and intersecting legacy technologies. In response, we have devised a systematic methodology to help identify research relating to Big Data. This methodology uses complementary search approaches, starting with a Boolean search model and subsequently employs contingency term sets to further refine the selection. The four search approaches considered are: (1) core lexical query, (2) expanded lexical query, (3) specialized journal search, and (4) cited reference analysis. Of special note here is the use of a “Hit-Ratio” that helps distinguish Big Data elements from less relevant legacy technology terms. We believe that such a systematic search development positions us to do meaningful analyses of Big Data research patterns, connections, and trajectories. Moreover, we suggest that such a systematic search approach can help formulate more replicable searches with high recall and satisfactory precision for other emerging technology studies.

Suggested Citation

  • Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1638-y
    DOI: 10.1007/s11192-015-1638-y
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    References listed on IDEAS

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    1. T. Gorjiara & C. Baldock, 2014. "Nanoscience and nanotechnology research publications: a comparison between Australia and the rest of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 121-148, July.
    2. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
    3. Loet Leydesdorff & Ping Zhou, 2007. "Nanotechnology as a field of science: Its delineation in terms of journals and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 693-713, March.
    4. Xuefeng Wang & Rongrong Li & Shiming Ren & Donghua Zhu & Meng Huang & Pengjun Qiu, 2014. "Collaboration network and pattern analysis: case study of dye-sensitized solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1745-1762, March.
    5. Douglas K. R. Robinson & Lu Huang & Yan Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01070417, HAL.
    6. Zucker, Lynne G. & Darby, Michael R. & Furner, Jonathan & Liu, Robert C. & Ma, Hongyan, 2007. "Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production," Research Policy, Elsevier, vol. 36(6), pages 850-863, July.
    7. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    8. D.K. Robinson & Lu Huang & Ying Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01071140, HAL.
    9. Mogoutov, Andrei & Kahane, Bernard, 2007. "Data search strategy for science and technology emergence: A scalable and evolutionary query for nanotechnology tracking," Research Policy, Elsevier, vol. 36(6), pages 893-903, July.
    10. Michel Zitt & Alain Lelu & Elise Bassecoulard, 2011. "Hybrid citation-word representations in science mapping: Portolan charts of research fields?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 19-39, January.
    11. Sanjay K. Arora & Alan L. Porter & Jan Youtie & Philip Shapira, 2013. "Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 351-370, April.
    12. Michel Zitt & Alain Lelu & Elise Bassecoulard, 2011. "Hybrid citation‐word representations in science mapping: Portolan charts of research fields?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 19-39, January.
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