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Title:Taxonomic Work as Information Work: Design for Semantic Refactoring
Author(s):Thomer, Andrea K.; Twidale, Michael B.; Guo, Jinlong; Yoder, Matthew J.
Subject(s):Scientific workflows
qualitative data
human- information interaction
biodiversity informatics
qualitative data
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.
Issue Date:2016-02-28
Citation Info:Thomer, Andrea K., Twidale, Michael B., Guo, Jinlong, & Yoder, Matthew J. 2016. Taxonomic Work as Information Work: Design for Semantic Refactoring. Workshop on Human-Centered Data Science, CSCW ’16, February 27 - March 02, 2016, San Francisco, CA, USA
Genre:Working / Discussion Paper
Conference Paper / Presentation
Sponsor:NSF ABI Grant 1356515.
Rights Information:Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. Copyright is held by the owner/author(s).
Date Available in IDEALS:2016-02-23

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