DPHU1008 Chap.1 Conceptualising and Contextualising Data
Conceptualising and Contextualising Data
The opening lecture asks what counts as data before any analysis begins. The workshop works with a broad definition, data as sensory stimuli, and shows how noticing, perception and context decide what is recorded.
Different fields notice different things, so they produce different data worlds.
The key concepts form a set: data, the data set, data as partial or an abstraction, contextualisation, the data rendering, representation, data and power, and discourses about data. The course treats a news article, a photograph, an advertisement or an interview as a rendering, because each one represents data in a way that shapes belief.
Readings on Indigenous data add that collecting data is political as well as technical, and that turning records into knowledge costs money and expertise, which concentrates control.
For the assessments, this chapter supplies the vocabulary that the critical journal rubric rewards. Its top band for impact on society names the data pyramid, power structures, the link between data and power, and existing discourses.
A rendering of your own, read through any one of these ideas, can carry a full journal entry, provided you show what the concept lets you see that a casual reader would miss.
What this chapter covers
- 01
Data as sensory stimuli: anything noticed and recorded by someone
- 02
The data pyramid: records, then information, then knowledge
- 03
Partial data: every set is an abstraction with gaps
- 04
Data rendering: any representation or interpretation of data
- 05
Representation: what a rendering emphasises and leaves out
- 06
Data and power: who collects, owns and interprets
- 07
Discourses about data: talk that makes numbers seem neutral
- 08
Fact versus opinion: how renderings decide what people accept as true
- 09
Single stories: one account repeated until it feels complete
Worked example · free
Questioning a school league table
- +1Name the rendering and its message: a ranked table that presents one score as the measure of a good school.
- +1Apply data as partial: the average records exam results only, leaving out wellbeing, arts, support for students with disability and the intake each school starts with.
- +1Apply data and power: whoever chose the single score shapes parents' choices and school funding debates, so the table favours schools with advantaged intakes.
Key terms
- Data rendering
- A representation or interpretation of data, such as a graph, an image, an article or an interview.
- Sensory stimuli
- The course's broad working definition of data: anything that can be noticed and recorded.
- Data pyramid
- A model in which records become information and then knowledge, with cost and control rising at each step.
- Contextualisation
- Placing data back among the people, places and purposes that produced it.
- Discourses about data
- Shared ways of talking about data, such as treating numbers as neutral fact, that shape how renderings are received.
Conceptualising and Contextualising Data FAQ
Why does the course call a photograph or an interview data?
Because the course defines data broadly as anything noticed and recorded, a photograph or interview records selected information about the world. Treating it as a rendering lets you ask who chose what to record and what effect that choice has on viewers.
What does it mean that data are partial?
Every data set captures only some features of what it describes, chosen by someone for a purpose. Calling data partial reminds you to look for what was not recorded before trusting what a chart appears to prove.
How do I use data and power in a critical journal?
Name who collected or published the data, who benefits from the way it is shown, and who is disadvantaged or left out. Then connect that imbalance to a specific feature of your rendering, such as a category, a ranking or an image.
How is data rendering different from data visualisation?
Visualisation usually means charts and graphics. The course uses rendering more widely, for any representation or interpretation of data, so a news article, painting, advertisement or interview can be analysed with the same critical questions as a chart.
What is the data pyramid and why does the rubric mention it?
The pyramid describes records becoming information and then knowledge, with cost and expertise rising at each step. The journal rubric names it because asking who can afford each step shows who ends up controlling what a rendering is taken to mean.
Assessment move
Start a running list of renderings from your own news feed in Week 1, since the critical journal must use one you found yourself. For each, write one line on what it records and one on what it leaves out. Learn the eight key concepts as a set and test yourself by explaining each without saying its name, as the workshop game does.
Listen to the reading podcast before each lecture, then check your notes against the reading itself. Rewatch the single-story talk from the Week 2 workshop and list what one repeated account leaves unsaid about a whole country. When you revise, pair each concept with the rendering you tested it on, so recall comes with an example.
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