Data quilting: Art and science of analyzing disparate data

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...

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Autores principales: Murugan Anandarajan, Chelsey Hill
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Lenguaje:EN
Publicado: Taylor & Francis Group 2019
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Acceso en línea:https://doaj.org/article/08e2f4b5643c4e4bae97db189e6c8ad6
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spelling oai:doaj.org-article:08e2f4b5643c4e4bae97db189e6c8ad62021-12-02T18:31:22ZData quilting: Art and science of analyzing disparate data2331-197510.1080/23311975.2019.1629095https://doaj.org/article/08e2f4b5643c4e4bae97db189e6c8ad62019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2019.1629095https://doaj.org/toc/2331-1975Motivated 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.Murugan AnandarajanChelsey HillTaylor & Francis Grouparticledata quiltingmixed methodstext analyticsvisual analyticsstory tellingresearch methodsBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 6, Iss 1 (2019)
institution DOAJ
collection DOAJ
language EN
topic data quilting
mixed methods
text analytics
visual analytics
story telling
research methods
Business
HF5001-6182
Management. Industrial management
HD28-70
spellingShingle data quilting
mixed methods
text analytics
visual analytics
story telling
research methods
Business
HF5001-6182
Management. Industrial management
HD28-70
Murugan Anandarajan
Chelsey Hill
Data quilting: Art and science of analyzing disparate data
description 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.
format article
author Murugan Anandarajan
Chelsey Hill
author_facet Murugan Anandarajan
Chelsey Hill
author_sort Murugan Anandarajan
title Data quilting: Art and science of analyzing disparate data
title_short Data quilting: Art and science of analyzing disparate data
title_full Data quilting: Art and science of analyzing disparate data
title_fullStr Data quilting: Art and science of analyzing disparate data
title_full_unstemmed Data quilting: Art and science of analyzing disparate data
title_sort data quilting: art and science of analyzing disparate data
publisher Taylor & Francis Group
publishDate 2019
url https://doaj.org/article/08e2f4b5643c4e4bae97db189e6c8ad6
work_keys_str_mv AT murugananandarajan dataquiltingartandscienceofanalyzingdisparatedata
AT chelseyhill dataquiltingartandscienceofanalyzingdisparatedata
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