Data Fields
Data fields are advanced, structured input types that allow you to integrate external datasets directly into Fairmarkit’s intake or RFx's. These fields streamline selection from complex lists (such as cost centers, GL accounts, preferred supplier lists, etc.), and support dynamic filtering and intelligent previews to guide users toward the right choices.
When to use Data Fields
Use data fields when you want to:
Allow users to select from a centralized, curated list of entries (e.g., cost centers).
Enforce consistency across submissions by referencing a single source of truth.
Filter options dynamically based on metadata like location, category, or business unit.
Provide structured previews that help users make informed selections without confusion.
Key Features
Slug Identifier
Each data field links to a specific dataset using a slug — a unique identifier like preferred-supplier
or approved-contracts
. This tells Fairmarkit which dataset to reference.
Preview Fields
You can define which fields are shown in the dropdown or selection view — such as name
, ID
, or supplier type
— to help users differentiate similar entries.
Example: Previewing “Vendor Name” and “Contract Expiration Date” side-by-side.
Filter Tags
Use metadata tags to limit what users see in the dropdown based on form context.
Example: Filter a list of vendors by country (
US
) or contract type (SOW
) using tag-based rules.
Fieldset Format
Data fields are organized using a fieldset layout, which lets you embed nested objects like { id: string, name: string }
as a single, structured input.
Configuration Options
datafieldSlug
The reference key for the external dataset
datafieldPreview
A list of fields to show in the dropdown preview (e.g., ["name", "status"]
)
datafieldFilterTags
A list of filtering rules based on form values (e.g., [{ country: "US" }]
)
fieldsetVariant
Set to "datafield"
to activate advanced dataset behavior
stored
Indicates whether the selected value should be persisted
Example Use Case
You want requestors to select from a pre-approved list of consulting vendors relevant only to the U.S.
Configure the data field as:
Slug
:approved-vendors
Preview Fields
:["name", "service_area"]
Filter Tags
:[{ country: "US" }]
This results in a dropdown that shows only U.S.-based consulting vendors, with clear preview labels for each.
Best Practices
Keep datasets clean and curated — data fields reflect exactly what’s in the source list.
Use preview fields sparingly — too many can overwhelm the user.
Combine with conditional logic to display the field only when relevant (e.g., if “category” = “IT”).
Summary
External dataset link
Pulls in real-time structured values
Preview configuration
Helps users choose the right entry easily
Filter by tags
Limits entries based on form context
Nested object support
Captures structured metadata in a single field
Works with conditions
Enables dynamic, responsive form behavior
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