Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBates, Jo-
dc.contributor.authorLin, Yu-Wei-
dc.contributor.authorGoodale, Paula-
dc.description.abstractIn this paper, we discuss the development and piloting of a new methodology for illuminating the socio-material con- stitution of data objects and flows as data move between different sites of practice. The data journeys approach contributes to the development of critical, qualitative methodologies that can address the geographic and temporal scale of emerging knowledge infrastructures, and capture the ‘life of data’ from their initial generation through to re-use in different contexts. We discuss the theoretical development of the data journeys methodology and the application of the approach on a project examining meteorological data on their journey from initial production through to being re- used in climate science and financial markets. We then discuss three key conceptual findings from this project about: (1) the socio-material constitution of digital data objects, (2) ‘friction’ in the movement of data through space and time and (3) the mutability of digital data as a material property that contributes to driving the movement of data between different sites of practice.en_UK
dc.relationBates J, Lin Y & Goodale P (2016) Data journeys: Capturing the socio-material constitution of data objects and flows, Big Data and Society, 3 (2).-
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 3.0 License ( which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (
dc.subjectcritical data studiesen_UK
dc.subjectdata journeysen_UK
dc.subjectdata materialityen_UK
dc.subjectdata culturesen_UK
dc.subjectdata practicesen_UK
dc.subjectbig dataen_UK
dc.subjectdata flowen_UK
dc.titleData journeys: Capturing the socio-material constitution of data objects and flowsen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleBig Data and Society-
dc.type.statusPublisher version (final published refereed version)-
dc.contributor.affiliationUniversity of Sheffield-
dc.contributor.affiliationCommunications, Media and Culture-
dc.contributor.affiliationUniversity of Sheffield-
Appears in Collections:Communications, Media and Culture Journal Articles

Files in This Item:
File Description SizeFormat 
2053951716654502.pdf392.31 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.