In our latest blog post, Sarah Barrett talks about the relationship between “data science” and Information Architecture, arguing that we need to focus less on the “data” and more on the “science.”
Bram makes the case for Enterprise Information Models in his IA Summit talk “Atomizer: Microcontent and the Future of IA.”
“IA in a Complex Business Context” was presented at the 2015 IA Summit in Minneapolis, Minnesota. If you were at the talk and want to give feedback, you can rate it …
The issue is rarely building the taxonomy itself, but the organizational readiness and alignment required to build and support that taxonomy.
Designing a taxonomy is the process of defining its structure. It details how different relationships will be used, formatting of the labels, and the attributes that will be associated with each term and relationship. The design process is also the right time to consider the governance and maintenance procedures for the taxonomy along with the technical implementation considerations.
At the end of the day, taxonomies are a means to an end and are rarely valuable on their own. They’re the bridge in the conversation between a business and its customers, an information system and its users.