Reframing Open Big Data

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Resumé

    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.
    OriginalsprogEngelsk
    TitelECIS 2013 Proceedings
    Antal sider12
    Udgivelses stedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publikationsdato2013
    ArtikelnummerPaper 169
    ISBN (Trykt)9783834924421
    StatusUdgivet - 2013
    BegivenhedThe 21st European Conference on Information Systems (ECIS) 2013 - Utrecht University, Utrecht Science Park 'de Uithof', Utrecht, Holland
    Varighed: 5 jun. 20138 jun. 2013
    Konferencens nummer: 21
    https://sites.google.com/site/ecis2013nl/home

    Konference

    KonferenceThe 21st European Conference on Information Systems (ECIS) 2013
    Nummer21
    LokationUtrecht University, Utrecht Science Park 'de Uithof'
    LandHolland
    ByUtrecht
    Periode05/06/201308/06/2013
    Internetadresse
    NavnProceedings of the European Conference on Information Systems
    ISSN0000-0034

    Emneord

    • Open big data (OBD)
    • Openness
    • Order
    • Relationality
    • IS research

    Citer dette

    Marton, A., Avital, M., & Jensen, T. B. (2013). Reframing Open Big Data. I ECIS 2013 Proceedings [Paper 169] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems
    Marton, Attila ; Avital, Michel ; Jensen, Tina Blegind. / Reframing Open Big Data. ECIS 2013 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. (Proceedings of the European Conference on Information Systems).
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    title = "Reframing Open Big Data",
    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.",
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    Marton, A, Avital, M & Jensen, TB 2013, Reframing Open Big Data. i ECIS 2013 Proceedings., Paper 169, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the European Conference on Information Systems, The 21st European Conference on Information Systems (ECIS) 2013, Utrecht, Holland, 05/06/2013.

    Reframing Open Big Data. / Marton, Attila; Avital, Michel; Jensen, Tina Blegind.

    ECIS 2013 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. Paper 169 (Proceedings of the European Conference on Information Systems).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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    KW - Relationality

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    Marton A, Avital M, Jensen TB. Reframing Open Big Data. I ECIS 2013 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2013. Paper 169. (Proceedings of the European Conference on Information Systems).