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  • What is Select Star?
  • 🏁Getting Started
    • 1. Data Source Setup
    • 2. Mark Service Accounts
    • 3. Hide Unwanted Datasets
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  • 🔄Integrations
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  • 🗃️Data Management
    • Add Documentation
      • CSV Metadata Upload
    • Collections
    • Tags
    • Data Ownership
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  • 📚Learning Data
    • Getting Started: Looker
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      • Nested Fields
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  • 📰Changelog
    • May 20, 2025 - Chrome Extension, Notifications, and More!
    • April 16, 2025 - Semantic Models, AI Metrics, and More!
    • March 12, 2025 - Fivetran Integration, Tableau Updates and More!
    • February 6, 2025 - Collections, Slack App Published, Salesforce Formula Lineage and more!
    • December 10, 2024 - Hex Integration, Impact Score & Snowflake Key Pair Authentication!
    • November 13, 2024 - New Navigation, Airflow and More!
    • September 30, 2024 - Upstream Data Quality Issue Tracking & 5 New Integrations!
    • August 30, 2024 - Monte Carlo, dbt Cross-Project Lineage
    • July 31, 2024 - Glossary Import, Lineage Updates & more!
    • July 9, 2024 - Lineage Explorer 2.0, Slack AI and Notifications
    • February 29, 2024 - AI Chat, Schema Change Notifications
    • February 23, 2024 - Manual Lineage Creation
    • November 23, 2023 - Bulk AI Documentation
    • October 19, 2023 - Downstream Notifications
    • October 16, 2023 - New Homepage
    • October 13, 2023 - dbt Impact Report
    • Historical Changelogs
  • Security & Compliance
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On this page
  • Create Tags
  • Organizing tags
  • Tags vs Collections
  • Folder Structure
  • Tag Owners
  • Apply Tags
  • Tagging From Table Pages
  • Tagging From Column Pages

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  1. Data Management

Tags

Use custom Tags to group data and indicate data quality.

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Last updated 1 month ago

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can use this page to learn how to and tags to data.

Create Tags

You can create new tags from the All Tags page by clicking + New Tag, next to the page title.

Create custom tags with different colors and icons to distinguish them from each other at a glance.

Organizing tags

Tags in Select Star are defined to be flexible so you can design your own process when cataloguing your data. This section explains tag ownership, and how to organize tags.

Tags vs Collections

Use collections group information relevant to a domain, data product, department or project. Collections can be applied to high-level datasets, like tables and dashboards, but not to columns.

Use tags to indicate data quality. You can mark any datasets or fields as Certified, Sensitive, Deprecated, or any other status you'd use to define the state of the data.

Tags can be applied to any data down to the column level.

Folder Structure

Tags can be organized into a folder like structure by dragging one tag into another. This can help you structure your tags in multiple levels.

Tag Owners

Owners can be either Teams or Individuals. You'll be able to see what team an individual is part of in the dropdown.

When your tag is created, Data Managers and Admins will be able to edit the description. Use the tag description to indicate what kind of data can be found in the tag.

You may want to outline procedures for handling data with specific tags.

Apply Tags

⌨️ By holding the Shift key, you can select multiple consecutive tables at once.

Tagging From Table Pages

Tagging From Column Pages

You can also quickly tag columns from the column page

Select Star has tags and .

Assign an to your new tag. Tag Owners can be thought of as Business Owners, meaning they are responsible for maintaining the tag documentation.

Quickly tag columns in a table view by clicking the tag icon in the Tags column. Anywhere the tag icon shows up, you'll be able to apply tags.

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