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Big data in science and higher education research: The case of intermediaries in higher education
Oberg, Achim
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URL:
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https://www.uni-kassel.de/einrichtungen/incher/akt...
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Dokumenttyp:
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Präsentation auf Konferenz
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Erscheinungsjahr:
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2019
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Veranstaltungstitel:
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INCHER Research Colloquium
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Veranstaltungsort:
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Kassel, Germany
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Veranstaltungsdatum:
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16.01.2019
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Betriebswirtschaftslehre > Mittelstandsforschung u. Entrepreneurship (Woywode 2007-)
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Fachgebiet:
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330 Wirtschaft
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Abstract:
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Many publicly available sources for big data research projects – for instance, websites of organizations in the field of higher education, shared knowledge on Wikipedia or debates on social media platforms – contain large amounts of relational and textual data. To make use of these qualities, a conceptual lens that combines social network and institutional analysis is quite helpful: Social network analysis enables us to capture larger structures and positions of individuals and organizations within these structures; institutional analysis provides concepts and tools to make meaning structures visible. In combination, we can study field configurations in unprecedented detail on a large scale. How such an approach can be applied to science and higher education research is demonstrated by early results of a current research project on transnational intermediaries in higher education.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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