Advanced level · Module 5: Data Governance and Responsible Data Science · Lesson 4 of 4
Responsible Data Sharing and Open Data
Share data and results to maximise benefit while protecting people and respecting agreements.
In this lesson you will
- Decide what can be shared openly, with restrictions or not at all
- Prepare a responsible data release
Key concepts
open datarestricted accessdisclosure risk assessmentlicences
The lesson
Sharing data can multiply its value — other organisations and researchers can learn from it — but only when people are protected and agreements allow it.
Classify each data set: open (aggregated, no disclosure risk), restricted (shared under agreement) or closed. Assess disclosure risk before any release.
Publish with documentation and a clear licence, and record who received restricted data and under what terms.
Step by step
- Classify the project's data sets for sharing.
- Run a disclosure risk check on the aggregated tables.
- Prepare an open release with documentation and a licence.
- Draft terms for restricted sharing.
Practice activity
Prepare the responsible data release from the practical activity.
Expected result: A documented, risk-checked release and restricted-sharing terms.
Check your understanding
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Name the three sharing categories.
Show answer
Open, restricted and closed.
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What must accompany an open data release?
Show answer
Documentation and a clear licence.
Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.