Abstract
Recently, there have been growing calls to make research data more widely available. While the potential benefits of sharing research data are many, there are also many challenges, including the interpretability, attendability, and complexity of the data. These challenges are particularly salient for research data associated with quantitative ethnographic analyses, which often use relatively novel and sophisticated techniques. In this paper, we explore design considerations for an interface for sharing research data that attempts to address these challenges for quantitative ethnographic analyses. These considerations include: (a) maintaining the consistency of the interpretive space, (b) simplifying model details, (c) including example results and interpretations, and (d) highlighting key affordances in the user interface. To explore these considerations, we describe the design of an interactive visualization of the thematic networks present in the HBO television series, Game of Thrones.
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Notes
- 1.
Of course, there are many other important challenges associated with sharing research data, including: practical challenges, such as the establishment of sharing protocols, epistemological challenges, such as what it means to reproduce results or whether it is possible at all, and ethical challenges, such as maintaining the confidentiality of participants involved in the data collection. However, these challenges are beyond the scope of this paper.
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Acknowledgments
This work was funded in part by the National Science Foundation (DRL-1661036, DRL-1713110), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.
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Swiecki, Z., Marquart, C., Sachar, A., Hinojosa, C., Ruis, A.R., Shaffer, D.W. (2019). Designing an Interface for Sharing Quantitative Ethnographic Research Data. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_30
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DOI: https://doi.org/10.1007/978-3-030-33232-7_30
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