␡
- Introduction
- Basic Security Principles
- Data Management: Determining and Maintaining Ownership
- Data Governance Policies
- Roles and Responsibilities
- Data Ownership
- Data Custodians
- Data Documentation and Organization
- Data Warehousing
- Data Mining
- Knowledge Management
- Data Standards
- Data Lifecycle Control
- Data Audits
- Data Storage and Archiving
- Data Security, Protection, Sharing, and Dissemination
- Privacy Impact Assessment
- Information Handling Requirements
- Record Retention and Destruction
- Data Remanence and Decommissioning
- Classifying Information and Supporting Asset Classification
This chapter is from the book
This chapter is from the book
This chapter is from the book
This chapter is from the book
Data Standards
Data standards provide consistent meaning to data shared among different information systems, programs, and departments throughout a product’s lifecycle. Data standards are part of any good enterprise architecture. Data standards make data much easier to use. For example, say that you get a new 850-lumen flashlight that requires two AA batteries. You don’t need to worry about what brand of batteries to buy as all AA batteries are manufactured to the same size and voltage standards.