Abstract
Bibliometric analysis, or citation analysis, is used extensively to track the ebb and flow of research topics and disciplinary trends, evaluate publication performance, determine professional outcomes such as tenure and funding awards, and develop policy. Numerous tools exist to help visualize and explore bibliometric data from citation databases; however, good analytics require good data. Obtaining that data through a web browser interface can place the user in a search query bottleneck, limited by the site developer’s graphical search engine features. This paper describes a new spreadsheet tool, designed in Microsoft Excel, for use in conjunction with citation database front-end website search engines. Using Web of Science (WoS) as a proving ground, this tool improves the user experience by enhancing the Advanced Search parameter options beyond those displayed on the WoS website, offers better search query save options than WoS alone, and extending the WoS search history function with commenting features. It also opens new collaborative search opportunities with other users which can also benefit secondary research investigations like meta-analyses, building a shared experience for better performance, accountability, and replicability. Using Excel and a simple interface design, the tool is far more user accessible, making standard spreadsheet cell entries much easier than navigating complicated HTML elements. This paper shares a demonstration of the tool on a novel HCI bibliometric query and considers future developments for other spreadsheet software and citation databases.
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Janzen, S. (2022). Advancing the Advanced Search: Improving the Web of Science User Experience with a Spreadsheet Search Query Tool. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_40
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