Integration guideCustom connection

Google Sheets

Exchange spreadsheet data with structured Seal records.

Illustration of a seal beside a benchtop bioreactor and a laptop displaying culture trends.

Link these Google Sheets records to the change they support.

Neil

Once the connection is configured, I’ll use the records it provides and cite each one. Anything it doesn’t supply stays listed as missing.

Google Sheets

What you get

Linked record review

  • Google Sheets records and the work they support
  • Missing or unmatched information
  • Next steps for your team to review
Illustrative work with Google Sheets: a request to Neil, the source it reads and what it returns.

1What’s connected.

Import structured data from Google Sheets into Seal records, or send Seal data to a sheet for reporting, through a connection set up with Seal’s API or Scripts. Fix the sheet layout and check each import against the expected columns.

Connection setup and permissions

Use Seal’s APIs or scripting engine for a connection tailored to your process. Agree the data mapping, access and direction of transfer before implementation.

2Start with the job.

Tell us what Neil needs to do and which records it needs. We’ll confirm the interface, permissions and implementation scope with your team.

Discuss this connection →

3Before it goes live.

Access and any write-back

Define which records are in scope and whose permissions apply. Whether the connection writes back at all is a separate decision, with its own mapping and approval.

Data and failure handling

Agree the field mapping, identifiers, units and source of record. Test missing or duplicate data, interrupted transfers and recovery before relying on the connection.

Verification and release

Review the configured connection for its intended use. Keep the requirements, checks and evidence with the change, and approve the release through your team’s controls.

Read the assurance detail →