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

Authors

  • Martin Q. Zhao Department of Computer Science, Mercer University, USA
  • Cooper Novak Department of Computer Science, Mercer University, USA
  • Ethan R. Widener Department of Computer Science, Mercer University, USA
  • Raj A. Patel Department of Computer Science, Mercer University, USA
  • Rui Gong Department of Informatics and Mathematics, Mercer University, USA https://orcid.org/0009-0000-0292-3333
  • George Francis Department of Biomedical Sciences, Texas A&M University College of Dentistry, USA
  • Qian Wang Department of Biomedical Sciences, Texas A&M University College of Dentistry, USA

DOI:

https://doi.org/10.47852/bonviewJDSIS42023383

Keywords:

data management for analytics, application design and development, biomedical informatics, custom regression and visualization, problem-based learning

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" off 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 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. Ethan R. Widener: Software, Writing - original draft. Raj 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, Funding acquisition.


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Published

2024-11-07

Issue

Section

Research Articles

How to Cite

Zhao, M. Q., Novak, C., Widener, E. R. ., Patel, R. A., Gong, R., Francis, G., & Wang, Q. (2024). 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. Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS42023383

Funding data