Data

Question 1

What are data?

Answer 1

Discrete or continuous values that convey information; basic units of meaning, facts, measurements, or symbols.

Question 2

What is a datum?

Answer 2

An individual value within a collection of data.

Question 3

In what fields are data commonly used?

Answer 3

Science, economics, and almost all human organizational activities.

Question 3

How are data usually organized?

Answer 3

Into structures like tables to provide additional context and meaning.

Question 4

What are examples of datasets?

Answer 4

CPI, unemployment rates, literacy rates, census data.

Question 5

What do data represent in research and business?

Answer 5

Raw facts from which useful information can be extracted.

Question 6

What are common methods of data collection?

Answer 6

Measurement, observation, querying, and analysis.

Question 7

What are field data?

Answer 7

Data collected in an uncontrolled, natural environment.

Question 8

What are experimental data?

Answer 8

Data generated through controlled scientific experiments.

Question 9

What is raw data?

Answer 9

Unprocessed data that may contain errors or outliers.

Question 10

What happens during data cleaning?

Answer 10

Removing outliers and correcting instrument or entry errors.

Question 11

What are common methods of data analysis?

Answer 11

Calculation, reasoning, presentation, visualization, and discussion.

Question 12

What is the difference between data and information?

Answer 12

Data are raw symbols or facts; information is data given context.

Question 13

What are data insights?

Answer 13

Connected pieces of information leading to understanding.

Question 14

What is knowledge?

Answer 14

Awareness or understanding gained from accumulated insights and information.

Question 15

What famous phrase compares data to a resource?

Answer 15

“Data is the new oil.”

Question 16

How does Beynon-Davies differentiate data from information?

Answer 16

Data = symbols; information = symbols referring to something.

Question 17

What is big data?

Answer 17

Extremely large datasets, often at petabyte scale.

Question 18

Why is big data difficult to analyze traditionally?

Answer 18

It’s too large for traditional computing and analysis methods.

Question 19

What field focuses on analyzing big data?

Answer 19

Data science using machine learning and AI.

Question 20

What is the origin of the term “data”?

Answer 20

Latin plural of datum, meaning “something given.”

Question 21

When did “data” begin to refer to computer information?

Answer 21

1946

Question 22

Is “data” singular or plural?

Answer 22

Both — plural in scientific usage, singular mass noun in everyday speech.

Question 23

How does APA style treat the word “data”?

Answer 23

As plural.

Question 24

What is the DIKW hierarchy?

Answer 24

Data → Information → Knowledge → Wisdom.

Question 25

What is Shannon entropy?

Answer 25

A measure of how much information a data stream contains.

Question 26

What does knowledge represent compared to data?

Answer 26

Data communicates facts; knowledge is understanding or awareness

Question 27

How was data handled before computers?

Answer 27

Collected manually and organized by humans.

Question 28

What changed with computing?

Answer 28

Machines now collect, store, sort, and process large amounts of data.

Question 29

What is the role of patterns in data?

Answer 29

Patterns are interpreted as information that enhances knowledge.

Question 30

How do analog computers represent data?

Answer 30

As physical quantities like voltage or position.

Question 31

How do digital computers represent data?

Answer 31

As binary symbols (0 and 1).

Question 32

What is metadata?

Answer 32

Data that describes other data.

Question 33

What is zero‑party data?

Answer 33

Data a customer intentionally shares.

Question 34

What is first‑party data?

Answer 34

Data collected directly by a business from its customers.

Question 35

What is second‑party data?

Answer 35

Another organization’s first‑party data obtained via partnership.

Question 36

What is third‑party data?

Answer 36

Data aggregated from many external sources.

Question 37

What is “no‑party data”?

Answer 37

Synthetic data generated from patterns in original datasets.

Question 38

What are examples of data documents?

Answer 38

Data repositories, studies, datasets, software, data papers, databases, handbooks, data journals.

Question 39

Which data documents are indexed in Data Citation Indexes?

Answer 39

Data repositories, data studies, datasets, and software.

Question 40

What is primary data?

Answer 40

Data collected firsthand by the researcher.

Question 41

What is secondary data?

Answer 41

Data collected by others and used by a researcher.

Question 42

What is data percolation?

Answer 42

A method combining multiple analysis angles to maximize objectivity.

Question 43

Why is long-term data storage an issue?

Answer 43

Digital storage devices degrade and may become unreadable within decades.

Question 44

What is FAIR data?

Answer 44

Data that is Findable, Accessible, Interoperable, and Reusable.

Question 45

Why is data accessibility a problem in science?

Answer 45

Many studies do not share data or provide enough detail for reproduction.

Question 46

What term did Peter Checkland introduce?

Answer 46

Capta — meaning data is “taken,” not simply “given.”

Question 47

Why is the term capta useful in the humanities?

Answer 47

It emphasizes that data is selected and interpreted, not objective raw fact.

Question 48

What does “data-driven” mean?

Answer 48

An approach where decisions or actions are primarily guided by data.