A Coding System for Qualitative Studies of the Information-Seeking Process in Computer Science Research

Autor/inn/en	Moral, Cristian; de Antonio, Angelica; Ferre, Xavier; Lara, Graciela
Titel	A Coding System for Qualitative Studies of the Information-Seeking Process in Computer Science Research
Quelle	In: Information Research: An International Electronic Journal, 20 (2015) 4, (38 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1368-1613
Schlagwörter	Coding; Qualitative Research; Information Seeking; Computer Science; Scientific Research; Focus Groups; Interviews; Classification; Questionnaires + Suchen Sie Ihr Suchwort? Codierung; Programmierung; Qualitative Forschung; Informationserschließung; Informatik; Interviewing; Interviewtechnik; Classification system; Klassifikation; Klassifikationssystem; Fragebogen
Abstract	Introduction: In this article we propose a qualitative analysis tool--a coding system--that can support the formalisation of the information-seeking process in a specific field: research in computer science. Method: In order to elaborate the coding system, we have conducted a set of qualitative studies, more specifically a focus group and some individual interviews, and have analysed their results. Analysis: We provide a detailed description of how the qualitative studies were performed and how the subsequent analysis, refining and validation phases were carried out until we obtained the proposed coding system. Results: The coding system is presented as a list of hierarchically categorised codes that try to cover the full information-seeking process performed by researchers in computer science. In order to facilitate the understanding and later use of the codes, we also include a detailed description of each, together with real examples of use extracted from the qualitative studies. Conclusions: We present a complete list of 169 codes categorised into 13 categories that can help other researchers to analyse further qualitative results related to the information-seeking process, both at the process level and at the user level. In our case, these codes will be in the near future the seed to design a system that can adapt its functionality, visualisation and interaction based on the task at hand, the user and the context of use. (As Provided).
Anmerkungen	Thomas D. Wilson. 9 Broomfield Road, Broomhill, Sheffield, S10 2SE, UK. Web site: http://informationr.net/ir
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01