---
catalog: "Free Training Catalog"
training_id: "013"
title: "Data Provenance & Reuse Boundaries"
subtitle: "Stopping silent data drift"
track: "AI & Automation Continuity"
estimated_time: "20–30 minutes"
audience:
  - IT / Security
  - Compliance
  - Product
  - AI teams
learning_outcomes:
  - Track where data comes from and why it exists
  - Prevent unauthorized reuse
  - Preserve original consent context
prerequisites: "Training 001–012 recommended"
level: "Intermediate"
license: "Free / Open Training"
version: "1.0"
last_updated: "2025-12-18"
---

# Data Provenance & Reuse Boundaries
## Stopping silent data drift

## Core stance
Most data risk does not come from breach.
It comes from **reuse without remembering why data was collected**.

## What data provenance answers
- Where did this data come from?
- For what purpose was it collected?
- Under what consent?
- What assumptions applied?

## Reuse boundaries
Reuse boundaries define:
- Permitted secondary uses
- Prohibited uses
- Review or renewal conditions

## Common failure pattern
> “We already have the data, so let’s use it.”

This is how consent quietly expires.

## Exercises
- Pick one dataset and write its origin story
- List allowed vs disallowed reuse
- Define a review trigger for expanded use

## Suggested next step
Attach a reuse boundary note to one existing dataset.