Metadata in AP Computer Science Principles

Why is metadata important in the context of computer science?

• It provides essential information about the data

• It is only important for data stored on physical media

• It has no relevance to computer science

• It slows down the processing speed of computers

What are the different categories of metadata?

• Physical, Virtual, Digital

• Public, Private, Protected

• Primary, Secondary, Tertiary

• Descriptive, Structural, Administrative

What are the ethical considerations related to metadata usage?

• No need for encryption of metadata

• Sharing metadata without consent

• Unlimited access to metadata for all users

• Privacy concerns, data security, and potential misuse of personal information

How is metadata used in data management?

• It is used to organize and locate resources

• It is used to slow down the processing speed of computers

• It is not used in data management

• It is used to increase the size of the data

What is the role of metadata in digital libraries?

• It is used to increase the storage capacity

• It is used to describe, locate, and retrieve information resources

• It is not used in digital libraries

• It is used to slow down the retrieval process

What are the potential risks associated with metadata?

• There are no risks associated with metadata

• It can lead to data redundancy

• It can lead to privacy invasion and misuse of personal information

• It can increase the processing speed of computers

What is the significance of metadata in search engines?

• It is not used in search engines

• It is used to slow down the search process

• It is used to enhance the search results and improve user experience

• It is used to increase the size of the search engine database

What is the relationship between metadata and data quality?

• Metadata has no impact on data quality

• Metadata can improve data quality by providing context and additional information

• Metadata reduces data quality by adding unnecessary information

• Metadata and data quality are unrelated concepts

What are the challenges in managing metadata?

• There are no challenges in managing metadata

• Challenges include data redundancy, privacy concerns, and maintaining data accuracy

• Managing metadata is easy and straightforward

• Metadata management only involves storing and retrieving data