SPACETRC / OPEN LEARNING LAB
Scientific Data Literacy
Work with units, missing values, uncertainty and reproducibility.
A lesson is recorded as practised when its answer is correct and you have written a reflection of at least 20 characters. This checks participation and basic understanding; it is not a qualification or accredited certificate.
Before you begin 3 questions
LEARNING OBJECTIVE
Keep numbers with units
Handle unit conversion and missing data explicitly.
A number without a unit does not adequately describe a physical quantity. A conversion expresses the same quantity in another unit.
A missing measurement is not zero. Mark blank cells separately and report how many samples were used or excluded.
2 h × 3600 s/h = 7200 s2 hours = 7,200 seconds. [9, blank, 11] contains two valid samples; the mean is 10 without replacing the blank by zero.
LEARNING OBJECTIVE
Summarize a distribution
Show that centre and spread convey different information.
The mean summarizes the centre of a dataset. Datasets with the same mean can have different spreads.
Inspect measurement context before removing an outlier. Spread and measurement uncertainty are not assumed to be identical.
x̄ = Σxi/n; aralık/range = xmax − xmin[9,10,11] and [1,10,19] both have a mean of 10, but their ranges are 2 and 18.LEARNING OBJECTIVE
Include uncertainty in the result
Explain what an uncertainty interval means and its limits.
An uncertainty statement accompanies values attributed to a measurement. Repeats, calibration and method effects may contribute separately.
State the interval type and calculation conditions. Overlap between two intervals is not, by itself, a test of equality.
Sonuç / result = değer / value + tanımlı belirsizlik / stated uncertaintyIntervals drawn for 2.0 ± 0.2 and 2.3 ± 0.2 may overlap. That drawing alone does not prove that two methods give equal results.
LEARNING OBJECTIVE
Make an analysis reproducible
Reconstruct a result from the same inputs and steps.
Keep the data version, row selection, transformations and calculation settings with a shared result. A screenshot may not preserve enough to rerun the method.
Identify a changed file as a new version. An independent rerun helps others inspect the method.
Veri + sürüm + yöntem + ayarlar → yeniden inceleme / Data + version + method + settings → inspectionInclude source URL, data-file date, selected time interval, unit conversion and the formula in your report package.
Check your learning 3 questions
The same short self-check before and after practice helps you review what changed. It does not measure expertise independently.
Turn practice into a research report.
Write a question, record your inputs, compare results and discuss uncertainty.
Start this projectYOUR WORK / YOUR COPY
Keep a portable learning portfolio.
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Study pack: release 4.0.0 · content dated 24 October 2026 · self-contained lessons, exercises, project templates and source-labelled sample data. Unzip and open index.html. No external API is required.
