Lesson 1 of 12

Structured learning draft

Stakeholders with Open data

In Open Data Analysis for Policy, the way a learner handles stakeholders shapes how Open data is used and evaluated. Policy stakeholders differ in authority, knowledge and exposure. This beginner lesson focuses on a decision or output that another person can inspect.

Learning objectives

Explain stakeholders in the context of Open Data Analysis for Policy.
Apply Open data to a bounded practical task.
Evaluate the result using explicit quality criteria.

Instructional figureDecision matrix

Stakeholders: from context to evidence

Stakeholders connects public need and evidence to a accountable outcome in Open Data Analysis for Policy.

Public need and evidence

Define the purpose, intended user and Open data constraints.

frames

Stakeholders

Map who decides, implements, benefits, pays and challenges.

produces evidence for

Accountable outcome

Compare the observed result with a normal case, boundary case and stated limitation.

Takeaway: Stakeholders is credible only when the result can be traced back to its purpose, inputs and constraints. Stakeholders is the decision layer between the starting context and evidence that the result is fit for purpose.

Policy stakeholders differ in authority, knowledge and exposure. For Open data, distinguish performing an operation from demonstrating that it suits the stated purpose. Map who decides, implements, benefits, pays and challenges. Record assumptions that could change the conclusion.

Apply stakeholders deliberately

State the Open Data Analysis for Policy task and the decision it supports.
Prepare a small Open data case with a known input and difficult boundary.
Map who decides, implements, benefits, pays and challenges.
Compare the observed result with the expected behaviour and explain differences.
Save the evidence, limitation and next action in a review record.

stakeholders evidence record
Review point	Evidence
Purpose	The specific Open data outcome and intended user
Method	The stakeholders 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 Open data before defining what stakeholders 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 Open data task demonstrating stakeholders. 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 stakeholders result produced with Open data?

The input, expected behaviour, normal and boundary results, and a limitation A polished Open data output without its input A screenshot showing the tool opened A claim that the method always works

Lesson summary

For Open Data Analysis for Policy, stakeholders means: Policy stakeholders differ in authority, knowledge and exposure.
A credible Open data result includes a checked boundary, not only a successful example.
The next lesson builds on this stakeholders evidence record.

Sources and further reading

Open Government Data ToolkitWorld Bank - accessed 2026-08-21
Digital governmentOECD - accessed 2026-08-21

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