The frontend requires a running backend and is built using Angular CLI 14.1.2. The frontend communicates exclusively with the backend API and cannot function independently.
Check my Dataset provides researchers with an early assessment of potential issues in their dataset using the same automated validation framework that powers the Review Dashboard. User needs to be logged on through their institutional logins to access the Check My Dataset tool.
A user selects a dataset and starts a validation run. The frontend displays:
The frontend is configured through: scr/assets/settings.json
The following configuration properties are available:
"dataverseUrl": URL of your dataverse installation. It is used to produce the links to datasets."apiURL": address of the Review Dashboard backend API."dataverseName": name of your installation. By default it’s set to ‘Dataverse.’Users without the required permissions cannot access the review dashboard. More information, see: Roles.
After selecting a dataset, the validation results are presented in three sections:
Highlights items that require attention before publication. For each topic, you will find a short explanation together with links to guidance and practical instructions. The items are based on the check_my_dataset_issue_definitions.json in the backend, an autocheck is linked to each item.
This section provides a complete overview of all automated checks that were performed. By default, this section is hidden to keep the page concise.
Some important aspects of dataset quality cannot currently be assessed automatically. This section provides additional recommendations based on FAIR principles and repository best practices, with guidance and practical instructions for each topic.
The items are based on the check_my_dataset_issue_definitions.json in the backend.