Lesson 4 of 12
Structured learning draftOpen data with World Bank
In Open Data Analysis for Policy, the way a learner handles open data shapes how World Bank is used and evaluated. Open data is reusable data with documentation and licence. This beginner lesson focuses on a decision or output that another person can inspect.
Learning objectives
- Explain open data in the context of Open Data Analysis for Policy.
- Apply World Bank to a bounded practical task.
- Evaluate the result using explicit quality criteria.
Open Data: from context to evidence
Open Data connects public need and evidence to a accountable outcome in Open Data Analysis for Policy.
Define the purpose, intended user and World Bank constraints.
Check licence, provenance, updates and disclosure risk.
Compare the observed result with a normal case, boundary case and stated limitation.
Review the evidence, adjust the method, and repeat.
Open data is reusable data with documentation and licence. For World Bank, distinguish performing an operation from demonstrating that it suits the stated purpose. Check licence, provenance, updates and disclosure risk. Record assumptions that could change the conclusion.
Apply open data deliberately
- State the Open Data Analysis for Policy task and the decision it supports.
- Prepare a small World Bank case with a known input and difficult boundary.
- Check licence, provenance, updates and disclosure risk.
- Compare the observed result with the expected behaviour and explain differences.
- Save the evidence, limitation and next action in a review record.
A worked World Bank evidence path
A four-step worked example for applying open data to World Bank, including a boundary test and revision.
Preserve the original World Bank case and expected result.
Confirm the basic path behaves as expected.
Expose an assumption in the open data method.
Change the method, rerun both cases and record the limitation.
| Review point | Evidence |
|---|---|
| Purpose | The specific World Bank outcome and intended user |
| Method | The open data decision, input and version or context |
| Result | Observed output plus a checked boundary case |
| Limitation | What the result does not establish and the next safe action |
Common mistakes
- Using World Bank before defining what open data must achieve.
- Checking only the easiest Open Data Analysis for Policy example.
- Reporting a result without its input, assumptions or limitation.
Practice activity
Apply the lesson
For Open Data Analysis for Policy, complete a bounded World Bank task demonstrating open data. Keep the original input, numbered method, normal test, boundary test, observed results and a 100-word self-review naming one limitation and next improvement.
Check your understanding
In Open Data Analysis for Policy, which evidence best supports a open data result produced with World Bank?
Lesson summary
- For Open Data Analysis for Policy, open data means: Open data is reusable data with documentation and licence.
- A credible World Bank result includes a checked boundary, not only a successful example.
- The next lesson builds on this open data evidence record.
Sources and further reading
- Open Government Data ToolkitWorld Bank - accessed 2026-08-21
- Digital governmentOECD - accessed 2026-08-21
Personal study note