Knowing what you don't know - on gaps, quality issues and other challenges in DH use cases

Working with historical data is not for the faint of heart: data can be incomplete, warped through digitisation artefacts, or difficult to understand as language and society have changed. However, it also provides a window on the past that can help us understand today's society better. In this talk, I will give examples of DH use cases that take on gaps in data, quality issues and other challenges head-first to make computational methods better suited to them.