A coding system for qualitative studies of the information-seeking process in computer science research

نویسندگان

  • Cristian Moral
  • Angélica de Antonio Jiménez
  • Xavier Ferré
  • Graciela Lara López
چکیده

Introduction. In this article we propose a qualitative analysis tool –a coding system that can support the formalisation of the informationseeking 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.

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عنوان ژورنال:
  • Inf. Res.

دوره 20  شماره 

صفحات  -

تاریخ انتشار 2015