Dictionary best practices

Read up on some best practices and strategies around building out a Dictionary within Secoda
We've put together some ideas around best practices when building out a Dictionary within Secoda. There's not one way to go about these as every organization has different requirements, but here are some ideas that have proven to work well

Choosing metrics

If you have an existing list of metrics and definitions hosted elsewhere...
  • Use our Import feature to automatically bulk upload these into Secoda via CSV format
If you don't have a list yet, and need to start fresh...
  • It's important to initially focus on high-impact metrics that are important to your users within Secoda
  • Consider hosting a small group workshop with your workspace Admins, or some core editors
    • Brainstorm a list of highly-used, high-impact metrics across your organization or data team
    • Think of metrics that are often misused, undefined, or confusing for your stakeholders
    • Vote on the priority of each metric and make plans to gather the right people in a room to develop definitions for these


  • Utilizing the Templates feature within the UI is a great way to ensure that documentation standards are set and followed
  • Admins of each Team should create dictionary templates so that editors know what kind of information is expected to be added to each metric


  • Since each Team has it's own section for a dictionary, you might consider ways to organize the many metrics that your organization needs to define
  • Consider using the General Team dictionary as an onboarding tool
    • Define more general metrics that span across the whole organization
    • Define company jargon and acronyms that can often get confusing for new hires
  • Team-specific dictionaries
    • Define terms by Team, based on which team owns those metrics and therefore owns the documentation of them
  • ConsiderNesting Terms so that they are easier to navigate for your users

Enrich dictionary metrics

  • Add enrichment to dictionary metrics by adding them to relevant Collections, adding owners and tags, and link them to related terms
    • Don't forget that you can make bulk changes to metrics and use some of our other documentation tips listed here Documentation best practices
  • This ensures that they're even more searchable within the UI, and so users can see how metrics and resources are related across the workspace


  • Consider using our Verification tag in order to indicate that a metric is ready to be used, and the definition has been approved by the data team or a list of relevant stakeholders
  • The goal of this tag is to provide trust in the data for users, so that users feel confident using the metric in their workflows