Abstract:

As a growing research field, digital humanities (DH) is receiving increasing attention from quantitative science studies using standardized scholarly databases. However, one of the challenges of this new line of research is how to select the query strategy to produce a representative sample of the field. In this research, we analyzed the differences between two publication samples acquired from the Dimensions database using two sampling approaches, namely, a keyword search and a DH journal list. We argue that these two samples offer distinct perspectives on the conceptual landscape of digital humanities, namely, implicit DH and explicit DH, and contribute to building a more comprehensive representation of the DH research domain. We identified notable differences between the publication samples from these two query strategies, especially the fact that these two samples have a very small overlap of publications, and they also have different disciplinary orientations. Our findings indicate that future quantitative studies analyzing DH publications should use more inclusive methods to cover both the implicit and explicit types of DH contributions. Moreover, we also discussed how our findings contribute to a deeper understanding of the disciplinary composition of DH, an interdisciplinary research field.

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