quantum_labelling_tool - QUANTUM - The Health Data Quality Label - v0.2.0

Introduction

The QUANTUM Data Quality Labelling Tool is a key component of the European Health Data Space (EHDS) initiative, designed to address the challenge of ensuring that health datasets are of high quality, accessible, and interoperable across EU member states. As healthcare data plays an increasingly vital role in research, policy, and innovation, this tool provides a standardized mechanism to evaluate and label the quality, utility, and maturity of datasets, supporting stakeholders such as healthcare institutions, research organizations, and policymakers.

Changelog

Data Quality & Utility (DQ&U) Dashboard

• Renamed to “Data Quality and Utility (DQ&U)” to reflect both aspects being assessed.
• Reordered menu items: “My datasets” and “My data catalogues”.
• Applied security and bug fixes for managing data catalogues and datasets.
• Conceptual updates:
  • Data controller now refers to the data holder organisation.
  • “Creator” renamed to “Reporter” (user managing the dataset and catalogue).
• Improved guidance and documentation:
  • Updated “How to use the dashboard” section.
  • Added definitions for Dataset and Data Catalogue.
  • Included a UML diagram to illustrate their relationship.

DQ&U Assessment

• Removed “Suggested formula” where not applicable.
• Added “Report URL” field for metrics under the Technical Quality dimensions.
• Added informational messages when changes are made.
• Enabled removal of previously selected metric values.

DQ&U Label

• Enhanced “How to Use the Label Page” instructions.
• Improved plot visualisation of DQ&U assessments.
• Adopted consistent DQ&U terminology throughout the label.
• Introduced final score calculation and star-based rating.
• Included maturity score in the label.
• Added a new comments section:
  • Shows metrics with score = 0 due to selected level.
  • Displays metrics with no value selected.
• Enhanced results table:
  • Displays selected answers.
  • Shows scores by dimension and metric.
• Improved RDF (.ttl) file generation.
• Created a PDF report including:
  • Snapshot of the assessment.
  • DQ&U scores.
  • Maturity results.

Maturity Dashboard

• Enhanced score visualisation and added a maturity plot.
• Enabled removal of dimension values.
• Added a button to navigate to the DQ&U dashboard.

Other Changes

• Used GitHub “Issues” section for tracking changes.
• Improved README.md:
  • Enhanced legibility.
  • Added software and hardware requirements.
• Refined Dockerisation process:
  • Automated database generation.
  • Automated tool image creation.
• Updated Zotero repository references.
• Refreshed “About” page content.
• Performed various minor fixes.

Full Changelog: https://github.com/quantum-label/quantumlabellingtool/compare/v0.1.1...0.2.0

- Python
Published by surfer8137 11 months ago

quantum_labelling_tool - QUANTUM - The Health Data Quality Label

Introduction

The QUANTUM Data Quality Labelling Tool is a key component of the European Health Data Space (EHDS) initiative, designed to address the challenge of ensuring that health datasets are of high quality, accessible, and interoperable across EU member states. As healthcare data plays an increasingly vital role in research, policy, and innovation, this tool provides a standardized mechanism to evaluate and label the quality, utility, and maturity of datasets, supporting stakeholders such as healthcare institutions, research organizations, and policymakers.

Features

This tool empowers data holders by offering functionalities to:

Feature 1: Catalogue and Dataset metadata creation Feature 2: Assess dataset quality based on a guided evaluation of the QUANTUM key dimensions (such as accuracy, accessibility, and compliance) using your own practices. Feature 3: Generate and visualize data quality certificates (labels) and download them in the HealthData@EU standardized RDF format. Feature 4: Facilitate compliance with EU-wide quality standards such as HealthDCAT-AP, DCAT, DQV. Feature 5: Provide a transparent and accessible method for assessing data holders' maturity.

Ultimately, the QUANTUM tool aims to foster trust in health data across Europe by promoting reliable, reusable datasets that can be confidently shared within the European Health Data Space.

What's Changed

• Added project files by @surfer8137 in #1
• Updated README.md by @Cloddino95 in #2
• Added .gitignore, .zenodo.json and updated CITATION.cff and README.md by @surfer8137 in #3
• Updated README.md by @surfer8137 in #4
• License creation by @Cloddino95 in #5
• Updated .zenodo.json to test Zenodo integration

New Contributors

@surfer8137 made their first contribution in #1 @Cloddino95 made their first contribution in #2

Full Change log: https://github.com/quantum-label/quantumlabellingtool/commits/0.1.1

- Python
Published by quantum-label about 1 year ago

quantum_labelling_tool - QUANTUM - The Health Data Quality Label

Introduction

The QUANTUM Data Quality Labelling Tool is a key component of the European Health Data Space (EHDS) initiative, designed to address the challenge of ensuring that health datasets are of high quality, accessible, and interoperable across EU member states. As healthcare data plays an increasingly vital role in research, policy, and innovation, this tool provides a standardized mechanism to evaluate and label the quality, utility, and maturity of datasets, supporting stakeholders such as healthcare institutions, research organizations, and policymakers.

Features

This tool empowers data holders by offering functionalities to:

• Feature 1: Catalogue and Dataset metadata creation
• Feature 2: Assess dataset quality based on a guided evaluation of the QUANTUM key dimensions (such as accuracy, accessibility, and compliance) using your own practices.
• Feature 3: Generate and visualise data quality certificates (labels) and download them in the HealthData@EU standardized RDF format.
• Feature 4: Facilitate compliance with EU-wide quality standards such as HealthDCAT-AP, DCAT, DQV.
• Feature 5: Provide a transparent and accessible method for assessing data holders' maturity.

Ultimately, the QUANTUM tool aims to foster trust in health data across Europe by promoting reliable, reusable datasets that can be confidently shared within the European Health Data Space.

- Python
Published by Cloddino95 about 1 year ago