Making Uncertainty Explicit: The Preservation of Interpretive Complexity across Digital Humanities Project Workflows

This contribution examines how the interpretive nature of humanities knowledge manifests and propagates through workflows in Digital Humanities projects. Focusing on three critical phases data acquisition, knowledge representation, and web-based dissemination—we analyse selected case studies to reveal how interpretive phenomena are preserved, negotiated, simplified, or omitted at each stage. Our analysis reveals a systematic gap between the rich knowledge preserved in data models and that communicated through dissemination interfaces, where the rhetorical appeal of an "aesthetics of certainty" often overrides scholarly transparency.