Sometimes, for non-regulated work. For participant data a regulator may inspect, the sharing model and edit history of a shared sheet leave gaps that you would have to close with procedures, exports and validation.
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The direct answer
The real question
Google Sheets wins on collaboration. Several people can edit at once, comments and notifications are built in, and a Google Form can feed responses straight into a tab. For a pilot, a pre-screening log or a teaching dataset, that is excellent. The compliance question arises because the same properties that make Sheets collaborative work against the controls a trial needs: edits are free-form, structure is not enforced and permissions apply to the file or sheet rather than to a participant record.
Regulators do not prohibit spreadsheets by name. They ask whether the system has the controls appropriate to the risk: validation, a secure computer-generated audit trail, access limited to authorised users, and reliable records for the retention period (21 CFR 11.10; ICH E6(R2) 5.5.3; EU Annex 11 as a reference point; the EMA guideline on computerised systems and electronic data in clinical trials). The honest test is whether you can show those controls, with evidence, for your own use of Sheets.
If you are already running a study from Forms and Sheets, our migration guide from Google Forms and Sheets walks through the move, and Google Forms for clinical research covers the data-entry side.
What is different in Sheets
Statements about Google are attributed and marked for checking against the current Google Workspace help centre. The Capture column follows our product documentation.
| Area | Google Sheets: what to check | Capture |
|---|---|---|
| Who can change data | Editors can overwrite or delete any cell they can reach. Protected ranges can restrict this, but owners and admins can still change protections. How is that recorded? | Role-based access; approved forms locked for live use; every edit audited |
| Cell history | Per Google (2019), per-cell history shows last editor, time, previous and current value; some structural and format changes may not appear. Can you export it? | One row per changed field with user, time, old value, new value, reason; exportable |
| Version history | Whole-file versions can be restored by any editor. Is restoring an earlier version itself recorded and reviewed? | Soft-delete only for clinical data; hard deletes blocked by trigger |
| Identifiers | Names and study IDs often live in the same file. A shared link or a copy to a personal drive can expose both. | Site coordinators see names; researchers see coded IDs |
| Validation at entry | Data validation rules reject some inputs but do not raise a tracked query. | Edit checks raise an auto-query on entry |
| Signatures | No signature with meaning and re-authentication linked to the record. | Staff signatures with password re-authentication and legal meaning |
| HIPAA / GDPR terms | Google's BAA applies only to Covered Services; confirm Sheets and your plan. For GDPR, check data location options and processor terms in your Workspace agreement. | Hosted in the EU (Frankfurt) or the USA (N. Virginia) |
Verify every Google statement on workspace.google.com and in your own agreement. This is general information, not legal advice.
A data-entry layer that cannot be overtyped
In a sheet a coordinator types into row 41, column K. In a form-based EDC, the same value sits inside a visit-specific form with a type, a unit and a range, and a rule that fires if it is wrong. The check happens at entry, which is where it is cheapest to fix. The form below is a demo of a site-entered vital signs form in Capture.
Weight
Height
BMI
Systolic blood pressure
Above range · query raised
Upload your column headers or describe the form. AI drafts the questions for your review. Free sandbox, no credit card.
What you would have to build around it
Teams that stay in Sheets for regulated data usually assemble the same set of workarounds. None is impossible. Each needs an owner, a procedure and evidence.
Use a managed Workspace account, switch off link sharing and external sharing, restrict who can create copies and download, and review the access list on a schedule. Record every review. Explain in your data management plan how identifiers are kept apart; see the data management plan template.
Protect header rows, calculation columns and data validation ranges so that only a named person can change them, and keep a log of every structural change with a reason. Document it as change control, which is the sort of evidence computer system validation calls for.
Because cell history may omit some changes and version history is whole-file, many teams write a script or procedure to snapshot the sheet on a schedule and compare the snapshots. You then have to show that the process is validated, complete and tamper-evident. See ALCOA+ data integrity for the attributes a reviewer will look for.
Queries move to email or comments, consent signatures to PDFs in a drive, and adverse events to a second sheet. Reconciling these is a standing monthly task. A single platform removes it; see query management software.
Switch plan
A sequence that keeps the original sheet as the historical record and avoids unverified claims about importing data.
Set it to view-only, download a copy, and file it with a note of the date, the person and the reason. Export the cell and version history you can before access changes.
List each column with its type, unit and allowed values. Add a visit for each repeated measurement.
Upload the headers or dictionary (CSV, XLSX, PDF, DOCX) or describe the form, review the AI draft, then add codes, ranges and edit checks. See the templates library for standard vital signs, adverse event and medication forms.
Give site coordinators, researchers and admins the access they need. Remove the shared-link habit.
Run mock participants through the sandbox, record the evidence, then start collecting in Capture. Document how earlier sheet data will be merged at analysis. See exporting EDC data to R, SAS and SPSS.
Technically yes, but it is hard to defend for regulated trial records because edits are free-form, access control is coarse and change tracking has gaps. It may suit non-regulated or non-identifiable work if your sponsor and ethics committee agree.
It has version history and, per a 2019 Google announcement, a per-cell edit history showing the last editor, time and values, though some structural and formatting changes may not appear. Whether that meets your sponsor's audit trail requirement is for your quality unit to decide.
We found no Google statement of Part 11 compliance for Sheets on 13 October 2026. Part 11 compliance depends on controls, validation and procedures, not on a badge. Ask Google in writing.
Google offers a business associate addendum for designated Covered Services. Check Google's current list for Sheets and your plan, and have your privacy officer review. A BAA does not by itself make a study compliant.
For non-regulated surveys, perhaps. For trial data, Forms adds no audit trail or signatures of its own. See the Google Forms guidance linked on this page.
Archive the sheet, write a data dictionary, upload it or describe the forms for AI drafting, review the draft and add edit checks. We do not claim an automated data import.
No. Offline entry is not available today.
Open the free sandbox, with every feature and no credit card. You pay only when you go live.
Keep exploring
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How to migrate from Google Forms and Sheets
Step-by-step move.
Google Forms for clinical research
The data-entry side.
Can you use Airtable for a clinical trial?
The sibling question.
Is Excel acceptable for clinical trial data?
The same question for Excel.
Templates library
Standard eCRF forms.
Free sandbox, every feature. Draft forms from your columns and test the audit trail. No credit card.