Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying.
Where this comes from
- Record sourced from PubMed, PMID 33205145.
- Also identified by DOI 10.1016/j.patter.2020.100126 and PMC identifier 7660361.
- Licence recorded as CC BY-NC-ND.
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Abstract
Exploratory data analysis is a crucial part of data-driven scientific discovery. Yet, the process of discovering insights from visualization can be a manual and painstaking process. This article discusses some of the lessons we learned from working with scientists in designing visual data exploration system, along with design considerations for future tools.