Data is a valuable resource. Therefore, data management has become an important administrative function. An effective data management plan should govern how to acquire, store, and secure organizational data. Remember, reliable data management plans depend on your ability to identify the value added to operational and strategic planning.
Read this chapter. Focus on the differences between data, information, and knowledge; why database technology for data resource management is important; and the role of database management systems. Answer the study questions at the end of the chapter. Why is data management valuable to the success of an organization? What are some common weaknesses in data resource management? How can they be mitigated?
Sidebar: What Is Metadata?
The term metadata can be understood as "data about data". Examples of metadata of database are:
- number of records
- data type of field
- size of field
- description of field
- default value of field
- rules of use.
When a database is being designed, a "data dictionary" is created to hold the metadata, defining the fields and structure of the database.