# Working with datasets
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Datasets are the foundation of your Quick Sight analytics, serving as the prepared and structured data sources that power your analyses and dashboards. Once you've created datasets from your data sources, you need to manage them effectively throughout their lifecycle to ensure reliable, secure, and collaborative analytics.

This section covers the complete dataset management workflow, from editing and versioning datasets to sharing them with team members and implementing security controls. You'll learn how to maintain dataset integrity while supporting collaborative analytics, track which analyses depend on your datasets, and implement both row-level and column-level security to protect sensitive information. Whether you're preparing datasets for team use, troubleshooting analysis issues, or implementing data governance policies, these topics provide the essential knowledge for effective dataset management in Quick Sight.

**Topics**
+ [Creating datasets](creating-data-sets.md)
+ [Editing datasets](edit-a-data-set.md)
+ [Reverting datasets back to previous published versions](dataset-versioning.md)
+ [Duplicating datasets](duplicate-a-data-set.md)
+ [Sharing datasets](sharing-data-sets.md)
+ [Tracking dashboards and analyses that use a dataset](track-analytics-that-use-dataset.md)
+ [Using dataset parameters in Amazon Quick](dataset-parameters.md)
+ [Using row-level security in Amazon Quick](row-level-security.md)
+ [Using column-level security to restrict access to a dataset](restrict-access-to-a-data-set-using-column-level-security.md)
+ [Running queries as an IAM role in Amazon Quick](datasource-run-as-role.md)
+ [Deleting datasets](delete-a-data-set.md)
+ [Adding a dataset to an analysis](adding-a-data-set-to-an-analysis.md)