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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Auteurs principaux: | Murugan Anandarajan, Chelsey Hill |
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Format: | article |
Langue: | EN |
Publié: |
Taylor & Francis Group
2019
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Sujets: | |
Accès en ligne: | https://doaj.org/article/08e2f4b5643c4e4bae97db189e6c8ad6 |
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