The Tags page manages descriptive labels that can be applied across study records.
Tags support flexible categorisation beyond the core Data Dictionary fields. They can be used to identify a data source, study release, assay platform, study type, disease area, or another meaningful attribute.
Examples include FinnGen-R13, Olink, SomaScan, proteomics, and CVD.
View available tags
The Tags table displays the tag records available in the Data Dictionary.
[Screenshot 1: Use the full Tags page. Add a red box around the tag table.]
For each tag, you can view:
- Name
- Created Date
- Status
- Number of associated Studies
The study count shows how many study records are currently assigned to that tag.
Search for a tag
Use the search field to find a tag by name or status.
[Screenshot 2: Red box around the tag search field and “Search” button.]
For example, search for Olink, FinnGen, proteomics, or CVD.
Use advanced filters
Select Advanced Filters to narrow the tag list using additional tag properties.
[Screenshot 3: Red box around the “Advanced Filters” button.]
Filters are useful when locating tags by status, creation date, or associated-study count.
Create a new tag
Select New Tag to create a new descriptive label.
[Screenshot 4: Red box and arrow pointing to the “New Tag” button.]
Use a short, clear, reusable name. Before creating a tag, search the existing list to ensure that an equivalent label does not already exist.
[Screenshot 5: Add a screenshot of the New Tag form. Highlight the name, status, and save or create button.]
Manage tag status
A tag marked Active is available for use in relevant study metadata.
[Screenshot 6: Red box around an Active status label.]
Before inactivating a tag, review the associated-study count and confirm that the tag is no longer needed in active workflows.
Sort and configure the table
Select a sort icon in a column heading to sort the tag list, for example by Name or Created Date.
Select Columns to choose which fields are displayed.
[Screenshot 7: Highlight the Name and Created Date sort icons, plus the “Columns” button.]
When to use a tag
Use a tag when the attribute:
- Can apply to many studies
- May overlap with other categories
- Does not belong exclusively to a single panel, cohort, or population
For example, a study may belong to a Cardiovascular panel, derive from a specific cohort, have a defined population label, and also carry the tags Olink and proteomics.
Tips
- Search before creating a tag to avoid duplicates, spelling variants, or inconsistent capitalisation.
- Use concise names that are meaningful to all portal users.
- Prefer existing Panels, Cohorts, and Populations when the attribute belongs to one of those structured categories.
- Use tags for flexible, cross-cutting classification rather than as a replacement for core study metadata.