Analytic provenance for sensemaking: a research agenda

Xu, Kai ORCID:, Attfield, Simon ORCID:, Jankun-Kelly, T. J., Wheat, Ashley, Nguyen, Phong H. and Selvaraj, Nallini (2015) Analytic provenance for sensemaking: a research agenda. IEEE Computer Graphics and Applications, 35 (3) . pp. 56-64. ISSN 0272-1716 [Article] (doi:10.1109/MCG.2015.50)

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

Item Type: Article
Keywords (uncontrolled): Provenance, senesmaking, visual analytics, collaboration, data quality
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 15814
Notes on copyright: © 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.
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Depositing User: Kai Xu
Date Deposited: 07 May 2015 14:43
Last Modified: 04 Feb 2021 07:03

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