The Review Dashboard is a web application that aims to streamline the review, feedback and curation of datasets in Dataverse. It enables the installations to provide a standardized roadmap for their reviewers and keep track of datasets in various stages of the curation process. It provides reviewer assignment, configurable review checklists, automated quality checks, review notes and automated feedback generation, allowing reviewers to efficiently assess datasets before publication. It also maintains review state and reviewer comments, enabling continuity when reviews are reassigned.
A demonstration of the review dashboard is available here.
- Overview of datasets awaiting review
- Reviewer assignment workflow
- Configurable review checklists
- Automated checks
- Review notes and reviewer handover support
- Automated feedback generation
- Role-based access management through Dataverse groups
- Configurable branding, feedback templates and review criteria
The review dashboard is currently designed for Dataverse installations consisting of a single repository or collection.
Support for multi-institutional or multi-collection review workflows is currently not available. Installations that manage multiple independent repositories may require additional customization or future enhancements.
See: Installation
- Clone the repository
- Configure the backend
- Build the frontend
- Start the application
Full documentation is available in docs folder or on GitHub pages.
This project is licensed under the Apache 2.0 License.