What are the key distinctions between data and information, and how do these concepts relate to one another in the context of database management?

Data and information are two terms that are often used interchangeably, but they have distinct meanings, especially in the context of database management.

1. Data: This refers to raw, unprocessed, and unorganized facts or details that alone might not make much sense or provide context. For example, numbers, measurements, or observations that have not yet been interpreted are considered data. In a database, data can be a series of numbers, characters, images or other outputs from devices to convert physical quantities into symbols.

2. Information: This is data that has been processed, organized, or structured in a way that it's meaningful and useful. Information is essentially data that has been interpreted and understood in context. For example, if the collected data is processed and it's found that it represents the annual rainfall in a certain region, then this processed data becomes information.

In the context of database management, data is what is stored in the databases. Database management systems (DBMS) store, manage and retrieve this data. When a user queries the database, the DBMS fetches the relevant data and presents it to the user. The user, or the application used by the user, can then process this data to convert it into information.

So, in summary, data is the raw material that is stored in databases, and information is the processed, meaningful output that is derived from this data. The purpose of a database management system is to store and retrieve data efficiently, and to help convert this data into useful information.