Data architecture vs. information architecture
Data is by itself meaningless. To make data meaningful, to be understood and made valuable, it must be wrapped in context. Information Architecture is concerned with applying this context to data through the organization and labeling of data so that it becomes meaningful. Information Architecture is concerned with an “information ecology” made up of the interdependence of context, content, and users.
- Contextual factors include business goals, funding, politics, culture, technology, resources, and constraints.
- Content factors include content objectives, document and data types, volume, existing structure, governance and ownership.
- User related factors include what audience, tasks, needs, information-seeking behavior, and experiences they expect.