摘要：Different types of uncertainties occur in almost all datasets and are an inherent property of data across different academic disciplines, including digital humanities (DH). In this paper, we address, demonstrate and analyse spatio-temporal uncertainties in a non-standard German legacy dataset in a DH context. Although the data collection is primarily a linguistic resource, it contains a wealth of additional, comprehensive information, such as location and temporal detail. The addressed uncertainties have manifested because of a variety of reasons, and partly also because of decades of data transformation processes. We here propose our own taxonomy for capturing and classifying the various uncertainties, and show with numerous examples how the remedying but also re-introduction of uncertainties affects DH practices.
关键词：digital humanities; uncertainty; indigenous languages; spatial uncertainty; temporal uncertainty; lexical data uncertainty digital humanities ; uncertainty ; indigenous languages ; spatial uncertainty ; temporal uncertainty ; lexical data uncertainty
