prelims Flashcards

data vs. information

1
Q

raw,unprocessedfactsandfigures that
havenointrinsicmeaningorcontext.Itis the
fundamental inputinanyinformationmanagement
process.

A

data

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2
Q

characteristics of data

A

-lacks structure or meaning until organized
-can exist in various formats

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3
Q

processed, structured,or
organizeddatathatprovidescontext,relevance,
andmeaning,enablingdecision-makingor
understanding.

A

information

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4
Q

characteristics of information

A

-derived through analysis, interpretation and presentation
-provides context, making data actionable and useful

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5
Q

data(nature, context, purpose, example)

A

nature: raw facts and figures
context: no context
purpose: collected for potential use
example: 1, 2, 3

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6
Q

information(nature, purpose, context, example)

A

nature: processed and meaningful
context: contextual and structured
purpose: used for understanding and decisions
example: “sales increased by 50% last month”

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7
Q

types of data

A

-based on structure
-based on origin
-based on processing
-based on sensitivity
-based on format
-based on use
-based on storage and accessibility

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8
Q

Datathatisorganizedintoa
definedformat, suchas rowsand
columns,makingiteasytosearch
andanalyze.

A

structured data

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9
Q

examples of structured data

A

-databases
-spreadsheets
-ms excel

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10
Q

Datathatlacksapredefined
structure,makingitharderto
organizeandanalyze.

A

unstructured data

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11
Q

examples of unstructured data

A

-text documents
-images
-videos
-emails

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12
Q

Datathatdoesnotconformtoa
strict structurebut stillcontains
tagsormarkers fororganization.

A

semi structured data

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13
Q

example of semi structured data

A

-xml, json, yaml files
-log files

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14
Q

collected directly from the source for a specific purpose

A

primary data

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15
Q

examples of primary data

A

survey results, sensor data, interviews

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16
Q

data collected from existing sources, not directly by the user

A

secondary sources

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17
Q

examples of secondary sources

A

research papers, government reports, online datasets

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18
Q

data in its original, unprocessed form

A

raw data

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19
Q

examples of raw data

A

-output from sensors
-log from systems

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20
Q

data that has been cleaned, analyzed and organized for specific use

A

processed data

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21
Q

examples of processed data

A

-reports
-summaries
-dashboards

22
Q

data available to the general public without restrictions

A

public data

23
Q

examples of public data

A

-open government data
-public research findings

24
Q

data meant to be confidential and restricted to specific individuals or groups

A

private data

25
Q

examples of private data

A

-financial records
-personal emails

26
Q

data that if exposed, can cause harm or breaches

A

sensitive data

27
Q

examples of sensitive data

A

-social security numbers
-health records

28
Q

data stripped of identifiable information to protect privacy

A

anonymized data

29
Q

example of anonymized data

A

aggregated demographic data

30
Q

alphanumeric characters stored as plain text or documents

31
Q

examples of text data

A

-reports
-notes
-emails

32
Q

data represented in numerical form

A

numerical data

33
Q

examples of numerical data

A

-financial transactions
-scientific measurements

34
Q

data in non-text formats such as images, videos, and audio

A

multimedia data

35
Q

examples of multimedia data

A

-photographs
-mp3 files
-youtube videos

36
Q

data divided into categories or levels

A

categorical data

37
Q

examples of categorical data

A

-gender
-product types

38
Q

data indexed by time, showing changes over a period

A

time-series data

39
Q

example of time-series data

A

-stock price
-weather patterns

40
Q

data used for day to day operations of an organization

A

operational data

41
Q

examples of operational data

A

-transaction records
-inventory data

42
Q

data used for analysis, decision making, and strategic planning

A

analytical data

43
Q

examples of analytical data

A

-sales trends
-customer behavior analytics

44
Q

large and complex datasets that cannot be processed using traditional tools

45
Q

examples of big data

A

-social media activity
-iot device logs

46
Q

data that is processed and delivered immediately as it is generated

A

real time data

47
Q

examples of real time data

A

-live stock market updates
-online gaming stats

48
Q

data stored for historical purposes and compliance

A

archived data

49
Q

examples of archived data

A

old financial records, email archives

50
Q

types of information by nature

A

-factual
-subjective
-objective
-analytical

51
Q

types of information based on format

A

-textual
-numerical
-visual
-auditory