Reframing Open Big Data

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Reframing Open Big Data

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dc.contributor.author Marton, Attila
dc.contributor.author Avital, Michel
dc.contributor.author Blegind Jensen, Tina
dc.date.accessioned 2013-07-10
dc.date.accessioned 2013-07-10T11:12:25Z
dc.date.available 2013-07-10T11:12:25Z
dc.date.issued 2013-07-10
dc.identifier.uri http://hdl.handle.net/10398/8739
dc.description.abstract Recent developments in the techniques and technologies of collecting, sharing and analysing data are challenging the field of information systems (IS) research let alone the boundaries of organizations and the established practices of decision-making. Coined ‘open data’ and ‘big data’, these developments introduce an unprecedented level of societal and organizational engagement with the potential of computational data to generate new insights and information. Based on the commonalities shared by open data and big data, we develop a research framework that we refer to as open big data (OBD) by employing the dimensions of ‘order’ and ‘relationality’. We argue that these dimensions offer a viable approach for IS research on open and big data because they address one of the core value propositions of IS; i.e. how to support organizing with computational data. We contrast these dimensions with two other categories that stem from computer science and engineering, namely ‘big/small’ and ‘open/closed’ to address the complex interplay between people and data, social interaction and technological operations. Thus conceived, this paper contributes an alternative approach for the study of open and big data as well as laying the theoretical groundwork for its future empirical research. en_US
dc.format.extent 13 en_US
dc.language eng en_US
dc.subject.other Open big data (OBD) en_US
dc.subject.other Openness en_US
dc.subject.other Order en_US
dc.subject.other Relationality en_US
dc.subject.other IS research en_US
dc.title Reframing Open Big Data en_US
dc.type cp en_US
dc.accessionstatus modt13jul10 lbjl en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.department Institut for IT-Ledelse en_US
dc.contributor.departmentshort ITM en_US
dc.contributor.departmentuk Department of IT Management en_US
dc.contributor.departmentukshort ITM en_US
dc.description.notes Paper presented at The 21st European Conference on Information Systems. Utrechr, Netherlands. 5-8 June, 2013 en_US
dc.publisher.city Frederiksberg en_US
dc.publisher.year 2013 en_US


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