Skip to main content
Learn · Data & Technology

Environmental Data Journalism

Turning sensor readings into stories that matter — and avoiding the traps

Grades 11–12 60 min project live IESH data

Students analyse real sensor data, identify a newsworthy story within it, and produce a 400-word piece of environmental journalism — practising the skills of evidence-based writing, appropriate hedging and accurate claim-making.

Learning objectives

  • Identify a genuine newsworthy finding within a dataset.
  • Write an accurate, evidence-based environmental news piece.
  • Apply appropriate hedging language when making claims based on limited data.
  • Recognise and avoid common data journalism errors (cherry-picking, misrepresenting correlation, ignoring context).

Background

Data journalism is the practice of building news stories from quantitative evidence. In environmental reporting, this means understanding what sensors measure, what the numbers mean in context, and what claims the data can and cannot support. The most common errors in environmental data journalism are: cherry-picking (choosing the time period that tells the most dramatic story), misrepresenting correlation as causation, presenting a single station's reading as representative of an entire region, and failing to include expert interpretation of unusual readings.

Good environmental journalism uses several techniques. Primary source data (like this device's readings) is always more credible than second-hand summaries. Numbers need context — "CO reading of 350 raw ADC" means nothing to a reader; "CO levels 40% above this week's average, measured on a morning with burning crop residue nearby" is a story. Appropriate hedging language ("readings suggest", "consistent with", "may indicate") is essential when data is limited or not fully calibrated.

Nepal's Right to Information Act (2007) gives citizens the right to request environmental data held by government agencies. Environmental journalists who understand sensor data can use this right effectively to access, verify and report on government monitoring records.

Procedure

  1. Spend 10 minutes exploring the full dashboard. Look at all charts, especially the history. Find one thing that genuinely surprises or interests you in the data.
  2. Write a "data note" — 3–4 bullet points describing what you found, using specific numbers and time references. No interpretation yet, just description.
  3. Now add context: research what was happening locally (weather, season, nearby activities) that might explain what you saw. Add this to your note.
  4. Write a 50-word headline and opening paragraph for a news story. The opening should answer: what happened, when, how much, and why it matters.
  5. Write the full 400-word article. Include: the specific data finding, context, one quote from a "source" (this can be a teacher playing a role, or a real published expert), and appropriate hedging where claims are uncertain.
  6. Read your article aloud and identify every claim. For each claim: is it directly supported by the data? If not, mark it for revision.

Discussion

  1. A journalist finds that temperature at this station has risen 2°C in the last week. Is this evidence of climate change? What would be the appropriate way to report it?
  2. What is the difference between saying "the data shows" and "the data suggests"? When should each be used?
  3. Nepal's Ministry of Environment holds air quality data for Kathmandu. Under what circumstances could a journalist request access to this data, and how might they use it?

Worksheet

1. Write your 50-word headline and opening paragraph. Underline every specific data value you include. [5 marks]

Answer guide (for teachers)

Good opening paragraphs include: specific numbers with units; a time reference; something surprising or significant; accessible language for a general reader. Penalise vague openings that could apply to any environmental story.

2. Identify two sentences in your draft that make claims beyond what the data directly supports. Rewrite each sentence using appropriate hedging language. [6 marks]

Answer guide (for teachers)

Hedging examples: change "shows" to "suggests"; add "based on readings from a single station"; change "causes" to "is associated with"; add "further monitoring would be needed to confirm". Award marks for the quality of the original identification AND the rewrite.

Vocabulary

Data Journalism
Journalism that uses quantitative data as primary source material, requiring skills in both statistical interpretation and writing.
Cherry-Picking
Selectively using data points that support a predetermined conclusion while ignoring contradictory evidence.
Hedging Language
Words and phrases that limit the certainty of a claim: "suggests", "may indicate", "consistent with", "appears to".
Primary Source
Original, uninterpreted data or firsthand accounts — as opposed to a secondary source that summarises or interprets primary data.

Extension

Submit your article to your school newspaper or a local youth media outlet. Alternatively, send it to a real Nepali environmental organisation or NGO working in your district and ask for their feedback on both the data interpretation and the writing. Document their response.

← Data & Technology