> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nx1cloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# DataHub best practices

> Best practices for maintaining a high-quality and trustworthy DataHub catalog.

The DataHub best practices page describes several efficient ways to use DataHub.
To maintain a high-quality and trustworthy data catalog, follow these recommended
best practices:

1. **Assign owners to every dataset**: Ensure each dataset has a clearly identified owner
   responsible for quality, access, and documentation.
2. **Keep descriptions up to date**: Maintain accurate descriptions at both the table
   and column levels so users can easily understand the dataset's purpose and contents.
3. **Use standardized glossary terms**: Apply approved business terms consistently across
   datasets to promote shared understanding and improve searchability.
4. **Tag datasets with relevant classifications**: Use tags and classifications
   to support governance, discovery, and compliance workflows.
5. **Review stale or deprecated datasets**: Periodically audit unused or superseded datasets
   and mark them as deprecated when appropriate.
6. **Monitor and maintain ingestion pipelines**: Monitor metadata ingestion pipelines and ensure
   they run reliably and without errors, so the catalog remains accurate and current.
7. **Define and maintain data quality tests**: Implement table-level and column-level tests for
   critical datasets to validate schema, freshness, null values, ranges, or business rules.
8. **Automate test execution within pipelines**: Run data quality tests automatically as part of
   ETL/ELT workflows or orchestration jobs to ensure consistent and reliable validation.
9. **Investigate and resolve failures promptly**: Use lineage and test failure details to
   diagnose root causes and coordinate remediation with upstream dataset owners.
10. **Monitor historical data quality trends**: Review test history and recurring failures
    to detect long-term quality issues and prevent downstream impact.

## Additional resources

* To get an overview of DataHub, refer to the [DataHub in NexusOne](./datahub-in-nx1) page.
* For more details about DataHub, refer to the [DataHub](https://docs.datahub.com/docs/features)
  official documentation.
* If you are using the NexusOne portal and want to learn how to launch DataHub, refer to the
  [Govern](/documentation/catalog-and-models/tasks/launch-datahub) page.