Human-Data Interaction
Thinking Beyond Individual Datasets
Bibliographic Data
| ID | 15323385 |
|---|---|
| Authors | Laura Koesten (0000-0003-4110-1759, University of Vienna, corresponding author), Jude Yew (0000-0001-6195-6020, Google), Kathleen Gregory (0000-0001-5475-8632, Leiden University) |
| Year | 2025 |
| Volume | 32 |
| Issue | 1 |
| Pages | 34-38 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | interactions (JOURNAL) |
| Journal identifiers | ISSN: 1072-5520 • E-ISSN: 1558-3449 |
| Publisher | Association for Computing Machinery (PUBLISHER • US) |
| DOI | 10.1145/3705537 |
| OpenAlex | W4406141414 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
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
Data science · Human–computer interaction · World Wide Web · Big Data and Business Intelligence · Computer Science · Data Quality and Management · Data Visualization and Analytics
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |