What Makes Data Possible? A Sociotechnical View on Structured Data Innovations

Simple item page
dc.contributor.authorAaltonen, Aleksi
dc.contributor.authorPenttinen, Esko
dc.date.accessioned2020-12-24T20:14:05Z
dc.date.available2020-12-24T20:14:05Z
dc.date.issued2021-01-05
dc.description.abstractDrawing from the theory of digital objects, this paper examines the distinction between structured and unstructured data as carriers of facts. We argue that data do not ‘have’ a structure but are made by a structure that confers data their capacity to represent contextual facts. We employ a case vignette involving XBRL (eXtensible Business Reporting Language) and its use in statutory financial reporting to illustrate and explore the sociotechnical nature of data and to describe what we call data innovations: new valuable ways to render phenomena as data. We find that data structure is best viewed as a matter that is relative to a purpose in a context. Theorizing data from a sociotechnical perspective could evolve to provide, in effect, the material science of digital economy.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.716
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71336
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Innovation, Transformation, and Entrepreneurship
dc.subjectdata innovations
dc.subjectsociotechnical perspective
dc.subjectstructured data
dc.subjectvignette
dc.subjectxbrl (extensible business reporting language)
dc.titleWhat Makes Data Possible? A Sociotechnical View on Structured Data Innovations
prism.startingpage5922

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0579.pdf
Size:
509.65 KB
Format:
Adobe Portable Document Format
Download

Collections

Digital Innovation, Transformation, and Entrepreneurship