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Data quilting: Art and science of analyzing disparate data
Journal article   Open access   Peer reviewed

Data quilting: Art and science of analyzing disparate data

Murugan Anandarajan and Chelsey Hill
Cogent business & management, v 6(1), pp 1-19
01 Jan 2019
DOI: https://doi.org/10.1080/23311975.2019.1629095
url
https://doi.org/10.1080/23311975.2019.1629095View
Published, Version of Record (VoR)CC BY V4.0,  Open

Abstract

data quilting mixed methods research methods story telling text analytics visual analytics
Motivated by incongruences between today's complex data, problems and requirements and available methodological frameworks, we propose data quilting as a means of combining and presenting the analysis of multiple types of data to create a single cohesive deliverable. We introduce data quilting as a new analysis methodology that combines both art and science to address a research problem. Using a three-layer approach and drawing on the comparable and parallel process of quilting, we introduce and describe each layer: backing, batting and top. The backing of the data quilt is the research problem and method, which supports the upper layers. The batting of the data quilt is the data and data analysis, which adds depth and dimension to the data quilt. Finally, the top layer of the data quilt is the presentation, visualization and storytelling, which pieces together the results into a single, cohesive deliverable. For illustrative purposes, we demonstrate a data quilt analysis using a real-world example concerning identity theft.

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5 citations in Web of Science
3 citations in Scopus

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Business
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