Releases: quantum-label/quantum_labelling_tool
QUANTUM - The Health Data Quality Label - v1.0.0
What's Changed
- Fixed modal bug on safari (iOS) by @surfer8137 in #142
- Automate setup with docker by @atrakic in #143
- Fixed readme instructions and docker-compose by @surfer8137 in #146
- Update README with Windows Docker setup note by @surfer8137 in #149
- Added version of dataset on creating and modifying views by @surfer8137 in #157
- Removed FDP code by @surfer8137 in #156
- Added datatables.js for dq&u dashboard tables (pagination, searchbar,… by @surfer8137 in #155
- 162 update zenodojson contributors by @surfer8137 in #165
- Removed piloting texts by @surfer8137 in #164
- Added ITB disclaimer in README.md and .zenodo.json by @surfer8137 in #163
- Update version and maintainers in README.md by @Cloddino95 in #166
- Fixed: PDFs version fields on Maturity and DQ&U reports, removed unne… by @surfer8137 in #168
- Update version number to 1.0.0 in CITATION.cff by @surfer8137 in #169
- Updated .zenodo.json by @surfer8137 in #170
New Contributors
Full Changelog: 0.2.1...1.0.0
Contributors
Assets 2
QUANTUM - The Health Data Quality Label - v0.2.1
New Features
- Label Sunburst Legend & Captions: A legend was added to the sunburst chart to make the quality dimensions more interpretable, along with a caption explaining color usage.
- Maturity chart Legend & Captions: A legend was added to the chart to make the maturity dimensions more interpretable, along with a caption explaining color usage.
- Progress Bar on Label Page: A visual progress bar now indicates assessment completeness at a glance, avoiding confusion between finalised and ongoing assessments.
- PDF Reports for maturity: Users can now generate PDF reports for both maturity and data quality/utility assessments.
- HTTP URI Examples: Examples were included to guide users in entering correct dataset URIs.
Improvements & Fixes
- Label Page Updates: Improved layout, changed metric names and formatting for better clarity; weights are now displayed as percentages. Clarification regarding the maturity results provided.
- Responsive Design: Fixed label page visualization issues on narrow screens (mobile/tablet).
- Maturity Dashboard Enhancements: Added index numbers to maturity dimensions and improved how updates are displayed. Further information how added on how the maturity relates with the quality assessment.
- Comment Updates: Enhanced comment text related to DQ assessment issues on the label page for better guidance.
- Init SQL Update for Docker: The init.sql script was updated for improved Docker compatibility and deployment.
Infrastructure & Compatibility
- Subpath Compatibility Fix: Adjusted Django web URL configuration to allow the tool to run under a subpath.
- Disclaimers Added: New disclaimers explain the purpose of datasets, catalogues, and the independence of maturity vs. DQ&U assessments
Full Changelog: 0.2.0...0.2.1
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: v0.1.1...0.2.0
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/quantum_labelling_tool/commits/0.1.1
Contributors
Assets 2
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.