Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Overview of Minitab

Overview of Minitab

Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Quality Assessment in Paediatric Cardiology: Experiences from Leveraging a Clinical Data Warehouse.

Life (Basel, Switzerland)·2026

Same author

Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging.

PloS one·2026

Same author

Expert Evaluation of an AI Governance and Ethics Framework Implemented at a University Hospital.

Studies in health technology and informatics·2026

Same author

REDCap Ontology Annotation Made Easy (ROME) - A REDCap Module for Simplified Metadata Element Annotation.

Studies in health technology and informatics·2026

Same author

Multi-Centric Quality Analysis of Oncological Data in FHIR.

Studies in health technology and informatics·2026

Same author

Assessing Imaging Metadata Quality in Radiology: Investigating Discrepancies Between PACS and RIS Data.

Studies in health technology and informatics·2026

Search research articles

Related Experiment Video

Updated: Sep 1, 2025

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

DQAgui: a graphical user interface for the MIRACUM data quality assessment tool.

Jonathan M Mang¹, Susanne A Seuchter², Christian Gulden³

¹Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany. jonathan.mang@uk-erlangen.de.

BMC Medical Informatics and Decision Making

|August 11, 2022

Summary

A new web application, DQAgui, simplifies data quality assessment for observational research. It provides an easy-to-use interface for checking data conformance, completeness, and plausibility, improving data analysis in research networks.

Keywords:

Data accuracy Data quality assessment (DQA)Documentation Electronic health records (EHR)Feasibility studies Mobile applications User–computer interface

More Related Videos

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Related Experiment Videos

Last Updated: Sep 1, 2025

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Area of Science:

Health Informatics
Data Science
Biostatistics

Background:

Observational research relies heavily on data quality (DQ) for reliable insights.
Secondary data use in research can lead to large, complex DQ reports.
Existing DQ reports may be cumbersome, risking oversight of critical information.

Purpose of the Study:

To develop a user-friendly tool for data quality assessment (DQA) in observational research.
To enable users without programming expertise to conduct DQ checks.
To present DQ assessment results clearly and facilitate further investigation.

Main Methods:

Developed DQAgui, a web application with a graphical user interface (GUI) using the R programming language.
Aligned the tool with Kahn et al.'s DQ categories: conformance, completeness, and plausibility.
Incorporated user-centered design principles and features like time-period subsetting and data element restriction.

Main Results:

DQAgui, an R package, offers a web-app frontend for DQA of tabular data.
The GUI facilitates systematic evaluation of DQ analysis results.
Features allow for targeted analysis of data subsets and specific data elements.

Conclusions:

DQAgui is implemented in ten German university hospitals for DQ assessment and datamap creation.
The tool enhances the overview of data element availability within research networks.
Future work includes design optimization and usability evaluation.