Abstract
How can we describe data when used as an art material? As the number of artists using data in their work increases, so too must our ability to describe the material in a way that is understood by both specialist and general audiences alike. Based on a review of existing vocabularies, glossaries and taxonomies of data, we propose our own concise taxonomy. To conclude, we propose the adoption of this concise taxonomy by artists, critics and curators, and suggest that ongoing refinement of the taxonomy takes place through crowdsourced knowledge sharing on the Web.
This content is only available as a PDF.
©2018 ISAST. Published under a Creative Commons Attribution 4.0
Unported (CC BY 4.0) license.
2018
ISAST
This is an open-access article distributed under the terms of the
Creative Commons Attribution 4.0 International (CC BY 4.0)
license, which permits copying and redistributing the material in any medium
or format for noncommercial purposes only. For a full description of the
license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.