← VCE Data Analytics U3O1

Authentic data in large repositories

Real data collected by a trusted organisation and kept in a large repository; check its publisher, date and relevance to your question.

Part of: VCE Data Analytics - U3O1 - Data Analytics — Module 39, ACARA Digital Technologies Years 7–8 — Acquiring and Storing Data — Module 26, ACARA Digital Technologies Years 9–10 — Acquiring and Validating Data — Module 40, QCE Digital Solutions Unit 4 — Complex Digital Data Exchange Problems and Solution Requirements — Module 104

Understanding Authentic data in large repositories in VCE Data Analytics U3O1

What it does: A last updated date shows how current the data is. Old data may no longer be accurate for a question about the present. data.gov.au is a large repository holding many authentic datasets from government organisations, so it is a good place to look for real data. The publisher tells you who collected the data and whether they can be trusted. Row count says nothing about this. Relevant data matches the topic, place and time of your question.

Common mistakes: Authentic data comes from a trusted publisher such as the ABS. A random blog is not in the trusted list, so the check would print False. Line 2 should be publisher = "ABS". The age of the data is the current year minus the year it was published. Reversing it gives a negative age. It should be age = 2025 - data_year.

Class: _____________________ · Name: _____________________ · Date: _________

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This module's key terms are also in a printable crossword (Modules 17–49) and word search (Modules 17–91).

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Learning

Duo

Which describes authentic data?

Real data collected by a trusted organisationMade-up data typed in to fit a task

Matches

source: unknown blog, no author or date

↓

The publisher is not identified and there is no date, so the data cannot be trusted as authentic.

Applying

Meanings

Term

authentic data

Meaning

Real data collected by a trusted organisation and kept in a large repository; check its publisher, date and relevance to your question.

Practice

Repository: data.gov.au

Testing

Gaps

publisher = 'ABS';

Check Answer

Spots

1repo = "data.gov.au"

2publisher = "random blog"

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Quick Questions

1. Which describes authentic data?

A. Real data collected by a trusted organisation ✓

B. Made-up data typed in to fit a task

Authentic data is real data gathered by a trusted organisation, not invented values.

2. Which is a large repository where authentic data is often stored?

A. An unsigned post on a social media page

B. A government open data portal such as data.gov.au ✓

Large repositories such as government portals hold data collected and maintained by organisations.

3. Before using a dataset, what should you check to identify the publisher?

A. Which organisation collected and released it ✓

B. How many rows it has

The publisher tells you who collected the data and whether they can be trusted. Row count says nothing about this.

4. A dataset was last updated in 2009. You need current data. What does this show?

A. It may not be current enough for your question ✓

B. It is always the best choice because it is older

Currency is about the date. Old data may no longer reflect the situation you are investigating.

5. You are studying Victorian school attendance this year. Which dataset is more relevant?

A. Rainfall data for Queensland farms

B. Recent attendance data for Victorian schools ✓

Relevant data matches the topic, place and time of your question.

Match the Pairs

authentic data → Real data collected by a trusted organisation and kept in a large repository, such as the Australian Bureau of Statistics

publisher: Bureau of Meteorology → Names the trusted organisation that collected the data, so you can judge whether the source is reliable

Check currency: the data should be recent enough to answer a question about today → last_updated: 2024-06-30

A large repository is a big, organised store of datasets from trusted publishers that anyone can search → source: data.gov.au

source: unknown blog, no author or date → The publisher is not identified and there is no date, so the data cannot be trusted as authentic.

question: 2025 school enrolments | dataset: fish counts from 1998 → The dataset is not relevant to the question and is out of date.

Key Term

authentic data

Real data collected by a trusted organisation and kept in a large repository; check its publisher, date and relevance to your question.

Fill in the Blanks

1. SELECT title, publisher FROM datasets WHERE publisher = 'ABS';

Hint: Type the SQL keyword that filters rows by a condition, here to find datasets from a trusted publisher.

2. SELECT title FROM datasets WHERE year >= 2023;

Hint: Type the comparison operator meaning 'this year or later', so the data is current.

3. SELECT title FROM datasets WHERE publisher = 'ABS' AND year >= 2023;

Hint: Type the Boolean operator that needs both the source check and the date check to be true.

4. SELECT COUNT(*) FROM datasets WHERE publisher = 'ABS';

Hint: Type the function that counts rows, to see how many datasets a large repository holds from one publisher.

5. SELECT title, year FROM datasets ORDER BY year DESC;

Hint: Type the keyword that sorts from highest to lowest so the most recent datasets appear first.

Spot the Error

Question 1

A repo = "data.gov.au"

B publisher = "random blog"

C trusted = ["ABS", "BOM"]

D print(publisher in trusted)

Line B — Authentic data comes from a trusted publisher such as the ABS. A random blog is not in the trusted list, so the check would print False. Line 2 should be publisher = "ABS".

Question 2

A data_year = 2024

B age = data_year - 2025

C current = age <= 2

D print(current)

Line B — The age of the data is the current year minus the year it was published. Reversing it gives a negative age. It should be age = 2025 - data_year.

Question 3

A topic_ok = True

B years_ok = True

C ok = topic_ok and years_ok

D if not ok: print("Use it")

Line D — Data should only be used when it is relevant to the question (ok is True). The 'not' flips the logic and would use irrelevant data. It should be if ok: print("Use it").

Question 4

A repo = data.gov.au

B size = 90000

C large = size > 1000

D print(large)

Line A — The name of the repository is text, so it needs quotation marks. Without them Python treats data.gov.au as a variable name and gives an error. It should be repo = "data.gov.au".

Question 5

A trusted = True

B current = True

C use = trusted and current

D if use print("Download")

Line D — An if statement needs a colon after the condition. Line 4 should be if use: print("Download").

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