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Study Description

Data Dictionary

Submit Query

You write and upload your analysis code without accessing raw data.

Code Review

Our security team reviews your code for privacy compliance and safety.

Sandboxed Execution

Your code runs in a secure, isolated environment against the full dataset.

Result Return

Only aggregated, privacy-safe results are returned to you.

Example Python Query

import pandas as pd
import numpy as np

# Load dataset (automatically handled by C2D pipeline)
df = load_dataset('psilocybin_depression_outcomes')

# Perform your analysis
baseline_madrs = df['MADRS_base'].mean()
endpoint_madrs = df['MADRS_12mo'].mean()
improvement = baseline_madrs - endpoint_madrs
response_rate = (df['MADRS_12mo'] <= df['MADRS_base'] * 0.5).sum() / len(df)

# Return only aggregated results
return {
  'baseline_mean': baseline_madrs,
  'endpoint_mean': endpoint_madrs,
  'mean_improvement': improvement,
  'response_rate': response_rate
}

Why Compute-to-Data?

Researchers maintain strict access controls while enabling powerful analysis. Your data never leaves our secure infrastructure, ensuring privacy compliance and participant trust.

Requirements

Basic Python knowledge. We provide documentation, example queries, and support. Queries typically execute within hours and are archived for reproducibility.

Data Transfer Agreements (DTAs)

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DTA Preview

Auto-generated from listing data

Data Classification Anonymous Agreement Term 3 years from execution date Transmittal Fee Free of charge Governing Law Dutch law

Use Restrictions

No commercial use No redistribution Destroy data after term

Publication Terms

Acknowledgment required Review before publication

When you request access, a pre-filled DTA will be generated based on these terms. Both parties review and sign digitally.

Compute-to-Data

Recommended for sensitive datasets. Your code runs securely on our servers; only results are returned. No data transfer required. Best for privacy-critical research.

Direct Data Transfer

For open-access datasets, you may download the full anonymized dataset. Subject to institutional review and signed DTAs. Enables unlimited offline analysis.

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