For researchers and analysts checking study data before analysis or publication, get help setting validation rules for required fields, allowed ranges, and consistent codes. Paste a small data sample or describe your columns to spot likely errors and plan checks for missing values, duplicates, and conflicting entries. Leave with a validation checklist, audit-trail steps, and rules you can apply in your data workflow.
Data Integrity
Build validation rules and audit checks for research data accuracy and consistency.
Use Data Integrity
$49.99 / month
Includes every Agent on Ai-GEN. 15,000+ Agents for one monthly price, cancel anytime.
From the creator of GPTs with 8.5M+ chats · 4.2 stars · 37K+ reviews
Your account is created at checkout. After payment, this Agent opens when access is ready.
Already subscribed? Sign in · Account terms
Cancel future renewals from Account & Billing → Subscriptions.
What it writes
- Research data validation checklist
- Field rules and allowed-value table
- Data correction audit-trail steps
How to use it
In your first message, name each column, its allowed values or range, and the errors you suspect. A few anonymized example rows make suggested checks more specific.
What you bring
- Column names and their meanings
- Allowed values and expected ranges
- A few anonymized example rows
- Remove direct participant identifiers
A good fit for
- Checking a survey dataset before running statistical analysis
- Setting entry rules for a new multi-site research study
- Investigating inconsistent participant IDs across study records
Ways to start
A few requests this Agent can handle.
I have a 250-person survey with age, visit date, and treatment group fields. Suggest validation rules and checks for missing or impossible values.
Our two study sites code treatment groups as A/B and 1/2. Help me define a consistent codebook and a safe recoding check.
I found duplicate participant IDs and conflicting visit dates in a study spreadsheet. What checks should I run, and what should I record in the audit trail?
Good to know
This workspace provides text assistance.
- Replacing your institution’s research ethics review
- Cannot inspect spreadsheets or verify the full dataset
- Cannot certify compliance or confirm data accuracy
Before you subscribe
What am I buying?
One monthly subscription that opens this Agent and every other Agent on Ai-GEN. Cancel from Account & Billing.
What happens after payment?
Checkout creates or uses your Ai-GEN account. When payment and entitlement are confirmed, the purchased Agent opens. Choose a starter task, add your inputs, and send your first request.
Can I cancel?
Yes. Manage cancellation under Account & Billing → Subscriptions. Review the status and cancellation details shown there before confirming.
Can I use the response in my work?
Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
Report This Agent
Tell Ai-GEN about broken behavior, poor performance, misleading capabilities, or a safety concern.