Harmonizing language data

Standards function as safeguards to ensure that data remains interpretable, uniformly queryable, and archivable over time - a critical challenge for digital humanists working with complex linguistic resources. This book provides an overview of essential standards for ensuring the sustainability of data in the Digital Humanities (DH). It addresses the selection of data encoding formats, methods of annotating primary data, and approaches to making resources findable and accessible. The focus is on various forms of linguistic data, such as texts, lexicons, or parallel arrangements (e.g., translations or transcribed recordings). The work explains the role of annotations and metadata in structuring and contextualizing data and examines the influence of diverse data formats, shaped by local academic or industrial practices. In contrast to neural language models, which often yield impressive but opaque results, DH projects aim for transparency, reproducibility, and sustainability. Achieving these goals requires interoperability - the seamless interaction between data and tools. The book demonstrates how clear guidelines and best practices help ensure the long-term usability of data. It offers digital humanists practical approaches and well-founded standards to sustainably archive and efficiently utilize their data, making it an indispensable resource for the field.