Human-Data Interaction: Thinking Beyond Individual Datasets
Shifting focus from static data use to dynamic interaction enables more diverse ways of exploring and conceptualizing how people work with data. Contexts are constantly evolving, and data evolves with them. Capturing the dynamic nature of data processes requires rethinking how to document them.
Authors
- Jude Yew (ORCID: https://orcid.org/0000-0001-6195-6020)
- Kathleen Gregory (ORCID: https://orcid.org/0000-0001-5475-8632)
- Laura Koesten (ORCID: https://orcid.org/0000-0003-4110-1759)
Institutions
- Leiden University (NL)
- Google (United States) (US)
- University of Vienna (AT)
Publication Details
- Journal
- interactions
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1145/3705537
- Citations
- 2
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.21
Funders
- Vienna Science and Technology Fund