Lesson 4 of 12

Structured learning draft

Open data with Flourish

In Data Journalism & Visual Storytelling, the way a learner handles open data shapes how Flourish 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 Data Journalism & Visual Storytelling.
Apply Flourish to a bounded practical task.
Evaluate the result using explicit quality criteria.

Instructional figureContinuous cycle

Open Data: from context to evidence

Open Data connects public need and evidence to a accountable outcome in Data Journalism & Visual Storytelling.

Public need and evidence

Define the purpose, intended user and Flourish constraints.

frames

Open Data

Check licence, provenance, updates and disclosure risk.

produces evidence for

Accountable outcome

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

Review the evidence, adjust the method, and repeat.

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

Open data is reusable data with documentation and licence. For Flourish, 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 Data Journalism & Visual Storytelling task and the decision it supports.
Prepare a small Flourish 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.

Instructional figureProcess flow

A worked Flourish evidence path

A four-step worked example for applying open data to Flourish, including a boundary test and revision.

Known input

Preserve the original Flourish case and expected result.

test

Normal test

Confirm the basic path behaves as expected.

challenge

Boundary test

Expose an assumption in the open data method.

improve

Revision

Change the method, rerun both cases and record the limitation.

Takeaway: A successful normal case is not enough; the difficult case must influence the final method. The boundary result changes the method before the evidence is accepted.

open data evidence record
Review point	Evidence
Purpose	The specific Flourish 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 Flourish before defining what open data must achieve.
Checking only the easiest Data Journalism & Visual Storytelling example.
Reporting a result without its input, assumptions or limitation.

Practice activity

Apply the lesson

For Data Journalism & Visual Storytelling, complete a bounded Flourish 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 Data Journalism & Visual Storytelling, which evidence best supports a open data result produced with Flourish?

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

Lesson summary

For Data Journalism & Visual Storytelling, open data means: Open data is reusable data with documentation and licence.
A credible Flourish 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

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