Enhancing Data Analytics and Visualization Support in CSViewer for Analysts – Version 1.1: Access to an Integrative Database and Knowledge Model of Cayo Santiago Rhesus Macaques

The CSViewer for Analysts app is designated to provide a myriad of graphical user interfaces and analytical tools for researchers to study the valuable datasets collated from the Cayo Santiago Rhesus macaque colony, which has been raised on the "monkey island" of Puerto Rico since 1938. It is a part of the effort to integrate decades of accumulated genealogy and demographic information with newly collected osteology data using the CS derived skeletal sets. When Version 1.0 was first shared among the collaborating teams in early 2023, CSViewer enabled its users to browse the CS population in the forms of matrilineal and patrilineal trees, as well as to visualize skull dimension data and photos when they are available. After choosing a Java-based dataframe library, a planned redesign has been implemented into Version 1.1, which supports data selection for animal subjects, bone measures to include, as well as facilitates more streamlined data management within the system. Various data analytics and visualization features have been added in v1.1, and a workshop was held during AABA 2024 to introduce CSViewer to interested users. Project-related materials have also been used to provide teaching materials in related undergraduate classes at the Computer Science Department of Mercer University to engage students in this NSF-funded project. Received: 9 May 2024 | Revised: 30 September 2024 | Accepted: 31 October 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Martin Q. Zhao: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing — original draft, Writing — review & editing, Visualization, Project administration, Funding acquisition. Cooper Novak: Software, Validation, Writing — review & editing, Visualization. Ethan R. Widener: Software, Writing — original draft. Raj A. Patel: Validation, Writing — review & editing. Rui Gong: Methodology, Formal analysis, Writing — review & editing, Visualization. George Francis: Methodology, Validation, Investigation, Data curation, Writing — original draft, Writing — review & editing. Qian Wang: Conceptualization, Resources, Writing — original draft, Writing — review & editing, Project administration, Funding acquisition.

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Publication Details

Journal
Journal of Data Science and Intelligent Systems
Published
2024-11-07
DOI
https://doi.org/10.47852/bonviewjdsis42023383
Citations
3
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.75
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article

Enhancing Data Analytics and Visualization Support in CSViewer for Analysts – Version 1.1: Access to an Integrative Database and Knowledge Model of Cayo Santiago Rhesus Macaques

Martin Q. Zhao, George Francis, Cooper T. Novak, Ethan R. Widener et al.
3 citations
Journal of Data Science and Intelligent Systems
Data Visualization and Analytics
0.75
article

Enhancing Data Analytics and Visualization Support in CSViewer for Analysts – Version 1.1: Access to an Integrative Database and Knowledge Model of Cayo Santiago Rhesus Macaques

Martin Q. Zhao, George Francis, Cooper T. Novak, Ethan R. Widener, Rui Gong, Qian Wang, R Patel
article en
3 citations

Abstract

The CSViewer for Analysts app is designated to provide a myriad of graphical user interfaces and analytical tools for researchers to study the valuable datasets collated from the Cayo Santiago Rhesus macaque colony, which has been raised on the "monkey island" of Puerto Rico since 1938. It is a part of the effort to integrate decades of accumulated genealogy and demographic information with newly collected osteology data using the CS derived skeletal sets. When Version 1.0 was first shared among the collaborating teams in early 2023, CSViewer enabled its users to browse the CS population in the forms of matrilineal and patrilineal trees, as well as to visualize skull dimension data and photos when they are available. After choosing a Java-based dataframe library, a planned redesign has been implemented into Version 1.1, which supports data selection for animal subjects, bone measures to include, as well as facilitates more streamlined data management within the system. Various data analytics and visualization features have been added in v1.1, and a workshop was held during AABA 2024 to introduce CSViewer to interested users. Project-related materials have also been used to provide teaching materials in related undergraduate classes at the Computer Science Department of Mercer University to engage students in this NSF-funded project. Received: 9 May 2024 | Revised: 30 September 2024 | Accepted: 31 October 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Martin Q. Zhao: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing — original draft, Writing — review & editing, Visualization, Project administration, Funding acquisition. Cooper Novak: Software, Validation, Writing — review & editing, Visualization. Ethan R. Widener: Software, Writing — original draft. Raj A. Patel: Validation, Writing — review & editing. Rui Gong: Methodology, Formal analysis, Writing — review & editing, Visualization. George Francis: Methodology, Validation, Investigation, Data curation, Writing — original draft, Writing — review & editing. Qian Wang: Conceptualization, Resources, Writing — original draft, Writing — review & editing, Project administration, Funding acquisition.

Journal of Data Science and Intelligent SystemsVol. 3(4)
Mercer University (US), Mercer University Health Sciences Center (US), Texas A&M University (US)
Openalex Percentile: Top 27%
Data Visualization and Analytics
0.75
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