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The time of data – conditions for digital knowledge production in big science

Kjellberg, Sara LU and Haider, Jutta LU (2016)
Abstract
Increasingly the material research deals with is cast as data. This is an ambiguous concept, which describes the matter of research in all stages of the research process. From having been seen as a stepping-stone on the way to producing the scientific results, increasingly data is itself positioned as the result. At the same time demands for data preservation and open data are often motivated with the hope that they will be of some use for new discoveries in the future.

This poster highlights some of the ways in which notions of data emerge in the construction of big science facilities in order to raise some issues concerning implications for how and when knowledge production is thought to occur. We studied data and their making... (More)
Increasingly the material research deals with is cast as data. This is an ambiguous concept, which describes the matter of research in all stages of the research process. From having been seen as a stepping-stone on the way to producing the scientific results, increasingly data is itself positioned as the result. At the same time demands for data preservation and open data are often motivated with the hope that they will be of some use for new discoveries in the future.

This poster highlights some of the ways in which notions of data emerge in the construction of big science facilities in order to raise some issues concerning implications for how and when knowledge production is thought to occur. We studied data and their making in setting up of two large-scale research facilities in southern Sweden, ESS and MAX IV, specifically of the necessary infrastructure for dealing with research data management. The main focus is on temporal aspects of data, thus shifting the interest from the question “what are data?” to the often more productive question “when are data?”. This also works to emphasis various sociomaterial entanglements shaping research data and its meaning in different organisational contexts.
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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to conference
publication status
unpublished
subject
keywords
Research Data Management
project
Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
Data in the making
language
English
LU publication?
yes
id
8b1606f1-b5a4-4dd1-9006-183be287bdad
date added to LUP
2016-07-11 21:08:25
date last changed
2018-11-21 21:24:51
@misc{8b1606f1-b5a4-4dd1-9006-183be287bdad,
  abstract     = {{Increasingly the material research deals with is cast as data. This is an ambiguous concept, which describes the matter of research in all stages of the research process. From having been seen as a stepping-stone on the way to producing the scientific results, increasingly data is itself positioned as the result. At the same time demands for data preservation and open data are often motivated with the hope that they will be of some use for new discoveries in the future.<br/> <br/>This poster highlights some of the ways in which notions of data emerge in the construction of big science facilities in order to raise some issues concerning implications for how and when knowledge production is thought to occur. We studied data and their making in setting up of two large-scale research facilities in southern Sweden, ESS and MAX IV, specifically of the necessary infrastructure for dealing with research data management. The main focus is on temporal aspects of data, thus shifting the interest from the question “what are data?” to the often more productive question “when are data?”. This also works to emphasis various sociomaterial entanglements shaping research data and its meaning in different organisational contexts. <br/>}},
  author       = {{Kjellberg, Sara and Haider, Jutta}},
  keywords     = {{Research Data Management}},
  language     = {{eng}},
  title        = {{The time of data – conditions for digital knowledge production in big science}},
  year         = {{2016}},
}