ABSTRACT
Digital Humanities (DH) research has steadily expanded, embracing data-driven methods and open research principles. Open and smart data play a key role in this shift, aligning with UK, European, and global efforts to publish research data openly. The Journal of Open Humanities Data (JOHD), the largest interdisciplinary data journal in the humanities, has grown rapidly over the past six years, reflecting a rising interest in open data. Its content reflects the range of approaches across disciplines, though adoption and management of open data still vary widely, raising important questions for the DH communities. This chapter explores how various humanities disciplines adopt, share, and publish open data with a quantitative analysis of open data practices in JOHD publications. Findings show significant disciplinary asymmetries in dataset types, sizes, and generation methods. We also identify gaps in geographical representation. These findings highlight critical areas for future development and have broader implications for open data in DH, particularly by revealing the uneven adoption of AI and smart data, the essential role of hybrid manual-automated workflows in managing annotation complexity, and the significant underrepresentation of certain disciplines and data types.
