Free Online Flashcard Deck

1. Data, Information, and the Data Life Cycle Free Online FlashCards

Study 1. Data, Information, and the Data Life Cycle with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is the difference between data and information?

Back

Data are recorded facts or symbols; information is data interpreted in a meaningful context.

02
Front

What is knowledge in the data-to-understanding sequence?

Back

Knowledge is a conclusion or understanding developed from information, such as recognizing that practice improved a score.

03
Front

What is a bit?

Back

A bit is a binary digit with one of two possible values, conventionally written as 0 or 1.

04
Front

How many bits are in a byte?

Back

A byte contains eight bits and can represent 256 different patterns, from 00000000 through 11111111.

05
Front

What decimal number does 01011010 represent?

Back

01011010 represents 90 because its 1-valued positions contribute 64 + 16 + 8 + 2.

06
Front

What are metadata?

Back

Metadata are data that describe other data, including their structure, format, meaning, origin, and processing history.

07
Front

Why is 02139 usually stored as text?

Back

A ZIP code such as 02139 should usually be stored as a text string because its leading zero matters and arithmetic is not normally performed on it.

08
Front

How do structured, semi-structured, and unstructured data differ?

Back

Structured data follow a defined schema; semi-structured data use markers such as key-value labels; unstructured data lack a regular tabular schema.

09
Front

What are raw data?

Back

Raw data are observations or records in their original or minimally processed form, before cleaning, transformation, summarization, or interpretation for a purpose.

10
Front

What happens during the planning stage?

Back

The planning stage defines the purpose, required data, responsibilities, ethical constraints, quality requirements, storage, security, and retention period.

11
Front

How should missing values be handled?

Back

Missing values should be identified by meaning—such as blank, unknown, not applicable, or suppressed—rather than automatically treated as zero.

12
Front

What does lossless compression preserve?

Back

Lossless compression preserves every original value and reconstructs an exact copy after decompression.