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Information Architecture Defined
Information architecture (IA) is the art and science of making information usable, findable, manageable, and securable. This is accomplished by applying information science to enterprise information environments to model and design logical systems for organizing, labeling, navigating, and searching information.
Definitive ARMA Resources
Webinar: Why Information Architecture is Vital to Information Governance
Despite the many advances in tech, we still struggle to find, leverage, and protect our information assets. Simply throwing more tech products at the challenges of productivity, cybersecurity, privacy, and governance will only add to the chaos. AI, auto-classification, and other emerging tools can be useful—if we build the information architecture (IA) necessary to support effective IM and IG. This live iMasters session will discuss how IA is the framework that enables better IG. You’ll learn real-world steps for getting started with IA and IG.
Information Architecture Key Points
- IA relates to both the front end and back end of information systems.
- IA for user interfaces (UI) defines schemes for organizing and labeling information in websites, applications, mobile interfaces, and Internet of Things devices for greater clarity and improved user experiences (UX).
- IA for information systems defines data structures, content repositories, information flows, and metadata for describing properties, categories, and classifications, all of which are used for searching, displaying, processing, routing, securing, and managing information assets throughout their lifecycle.
- IA design for websites and applications considers the interdependent aspects of users, content, and context.
- Enterprise IA, which is closely related to enterprise architecture, considers the interdependent aspects of people, processes, technology, and information for designing enterprise information systems.
- IA design must follow strategic goals and requirements defined by information governance when designing information architectures for individual systems, system interfaces, and the entire enterprise information environment.
- IA defines the work artifacts necessary for well-designed and usable information environments that follow the strategic goals and requirements defined by information governance and cybersecurity.
- IA produces artifacts that include taxonomies, ontologies, sitemaps, wireframes, search strategies, navigation strategies, records schedules, master data and metadata plans, data models, and data maps.
- IA informs architectures for applications and infrastructure.