Abstract
Taxonomy is the branch of science concerned with classi- fying organisms: drawing the line between cats and dogs, fish and fowl, animals and vegetables. Modern taxonomic work is built on a hundreds-year-old tradition of qualitative research and description. There are aspects of this work that illustrate the pervasiveness and difficulty of a particular kind of qualitative data wrangling, which we call semantic refactoring: the review, normalization, and re-engineering of semantic structures. Because taxonomic work is con- ducted over long time spans, the processes underlying se- mantic refactoring become more visible. An examination of taxonomic data practices may inform our understanding of how (and if) collections of qualitative data scale, particularly when collaboratively created.
Original language | English (US) |
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Number of pages | 5 |
State | Published - 2016 |
Event | 2016 Workshop on Human-Centered Data Science - San Francisco, United States Duration: Feb 27 2016 → Mar 2 2016 |
Conference
Conference | 2016 Workshop on Human-Centered Data Science |
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Abbreviated title | CSCW ’16 |
Country/Territory | United States |
City | San Francisco |
Period | 2/27/16 → 3/2/16 |
Keywords
- Scientific workflows
- classification
- ontologies
- qualitative data
- biodiversity informatics
- human-information interaction
- taxonomy