This last qualification is essential, because the literature on metadata quality understands it primarily as ‘fitness for a purpose’ (Király / Brase 2021, 357): the analysis of bibliographical metadata at scale to be undertaken by a digital humanist pursues goals that may differ from other use cases (Király / Brase 2021, 358f). But criteria for the assessment of data quality do not only depend on the goal to be pursued, we should also note that different criteria may at times be in conflict. In the case study I present here this concerns the tension between the ‘consistency’ of metadata, i. e. the uniformity of mappings between features of a resource and metadata fields, and ‘accuracy’, the description of the resource in question according to what we can and cannot know about it.