Analytic provenance for sensemaking: A research agenda

Xu, K., Attfield, S., Jankun-Kelly, T. J., Wheat, A., Nguyen, P. & Selvaraj, N. (2015). Analytic provenance for sensemaking: A research agenda. IEEE Computer Graphics and Applications, 35(3), pp. 56-64. doi: 10.1109/MCG.2015.50

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Abstract

Sensemaking is a process of finding meaning from information that often involves activities such as information foraging and hypothesis generation. It can be valuable to maintain a history of the data and reasoning involved. This history, commonly known as provenance information, can be a resource for 'reflection-in-action'' during analysis, supporting collaboration between analysts, and can help trace data quality and uncertainty through the analysis process. Currently, there is limited work on utilizing analytic provenance, which captures the interactive data exploration and human reasoning process, to support sensemaking. This article presents and extends the research challenges discussed in a IEEE VIS 2014 workshop on this topic to provide an agenda for sensemaking analytic provenance.

Item Type: Article
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Provenance, Senesmaking, Visual Analytics, Collaboration, Data Quality
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/15535

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