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Cellular Redox Profiling Using High-content Microscopy

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R/Shiny Application: Transfer Office Monitoring and Data Quality Assessment.

Dennis Hübner¹, Jenny Tippmann¹, Max Bergmann²

¹Thiem-Research GmbH, Cottbus, Germany.

Studies in Health Technology and Informatics

|May 17, 2025

Summary

This summary is machine-generated.

This paper presents an R/Shiny application for quality monitoring in Data Integration Center Transfer Offices. The tool provides interactive visualizations to ensure data quality control and detect anomalies.

Keywords:

Data Integration Center Data Quality Transfer Office dataquieR

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Area of Science:

Data Science
Software Engineering

Background:

Data quality is crucial for Transfer Offices.
Existing monitoring methods may lack efficiency or user-friendliness.

Purpose of the Study:

Introduce a novel R/Shiny application for quality monitoring.
Enhance data quality control processes at Transfer Offices.

Main Methods:

Development of an R/Shiny application.
Implementation of an intuitive user interface.
Integration of interactive visualizations for data exploration.

Main Results:

The application facilitates quality monitoring across Transfer Office databases.
Interactive visualizations aid in comprehensive data exploration.
The tool assists in detecting data anomalies and ensuring quality control.

Conclusions:

The R/Shiny application offers an effective solution for evolving quality monitoring needs.
The developed tool enhances data integrity and facilitates efficient data management.