Topics
Focus areas that cut across projects, methods, and notes.
A topic collects work that belongs together across sections: the project that demonstrated something, the method it applied, and the note that argued for it. Sections answer what kind of thing a page is. Topics answer what it is part of.
Two neighbors to this page. Clusters group work by an argument rather than a subject, and kinds of thing indexes it by what each page is — a method, a note, a finished publication.
Whether information is usable by the people it concerns. Treated as a property of the work rather than a review step at the end of it.
Working with real datasets: what they recorded, what they omit, and what can be concluded from them.
How resources are produced, distributed and valued, including the models used to describe that and their limits.
How decisions get made and who is accountable for them, in institutions and in data systems alike.
Stated courses of action by bodies with authority, the instruments that enact them, and what happens when they meet delivery.
Charts and dashboards a public audience can actually read, and that the organization publishing them can afford to keep running. Narrower than either parent: the subject is the intersection, where legibility and maintainability turn out to be the same problem.