Research: Safe Data Sharing
Researchers need to share datasets while protecting participant privacy. anonymize.today enables collaborative research with consistent pseudonymization.
The Challenge
Research institutions face tensions between data sharing and privacy:
- •Research ethics require participant privacy protection
- •Collaboration requires data sharing across institutions
- •Longitudinal studies need consistent pseudonyms
- •Publications must not contain identifiable information
The Solution
Consistent, reproducible pseudonymization for research data.
The Solution
Consistent Hashing
Same pseudonym for same identifier across documents. Perfect for longitudinal studies.
Batch Processing
Process multiple files at once with consistent anonymization settings.
Safe Sharing
Share datasets with collaborators without risking participant privacy.
Research Formats
CSV, JSON, and structured data support for common research formats.
How It Works
- 1
Upload your document
Upload interview transcripts, survey datasets, or case study documents in CSV, JSON, PDF, DOCX, or TXT format.
- 2
AI detects PII automatically
The analyzer identifies participant names, contact details, locations, and other identifying information across 27 languages, meeting IRB and ethics committee requirements.
- 3
Review and adjust entities
Confirm detected entities, exclude false positives, or add custom terms before processing.
- 4
Download the anonymized file
Receive pseudonymized datasets with consistent participant identifiers — the same participant always receives the same pseudonym across documents, essential for longitudinal studies.
Frequently Asked Questions
Is anonymize.today suitable for academic research?
How does consistent pseudonymization work for longitudinal studies?
Can research teams share anonymized datasets across institutions?
Enable Safe Research Collaboration
Start with 300 free tokens. All anonymization methods included.