Digital Humanities practitioners vocally praise the creation, re-use, and critique of complex and nuanced data. I connect this well-founded goal of rich humanistic data to the increased amounts of labor required different roles in such data's curation, including the labor that data will ultimately require from its audiences down the road. I argue that this net increase in different project labor forms can be a virtue, but only when that labor is properly planned for, distributed, credited, and compensated.
Originally presented at the May 21, 2021 workshop "Making Research Data Public: Workshopping Data Management for Digital Humanities," hosted by the University of Ottawa Library.
Funding
SSHRC - Making Research Data Public: Workshopping Data Management for Digital Humanities