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Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
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 exploratio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660361/ https://www.ncbi.nlm.nih.gov/pubmed/33205145 http://dx.doi.org/10.1016/j.patter.2020.100126 |
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author | Lee, Doris Jung-Lin Siddiqui, Tarique Karahalios, Karrie Parameswaran, Aditya |
author_facet | Lee, Doris Jung-Lin Siddiqui, Tarique Karahalios, Karrie Parameswaran, Aditya |
author_sort | Lee, Doris Jung-Lin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7660361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76603612020-11-16 Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying Lee, Doris Jung-Lin Siddiqui, Tarique Karahalios, Karrie Parameswaran, Aditya Patterns (N Y) Opinion 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. Elsevier 2020-10-09 /pmc/articles/PMC7660361/ /pubmed/33205145 http://dx.doi.org/10.1016/j.patter.2020.100126 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Opinion Lee, Doris Jung-Lin Siddiqui, Tarique Karahalios, Karrie Parameswaran, Aditya Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title | Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title_full | Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title_fullStr | Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title_full_unstemmed | Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title_short | Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying |
title_sort | three lessons from accelerating scientific insight discovery via visual querying |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660361/ https://www.ncbi.nlm.nih.gov/pubmed/33205145 http://dx.doi.org/10.1016/j.patter.2020.100126 |
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