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Datentracking in der Wissenschaft : Aggregation und Verwendung bzw. Verkauf von Nutzungsdaten durch Wissenschaftsverlage. Ein Informationspapier des Ausschusses für Wissenschaftliche Bibliotheken und Informationssysteme der Deutschen Forschungsgemeinschaft (2021)
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- Abstract
- Das Informationspapier beschreibt die digitale Nachverfolgung von wissenschaftlichen Aktivitäten. Wissenschaftlerinnen und Wissenschaftler nutzen täglich eine Vielzahl von digitalen Informationsressourcen wie zum Beispiel Literatur- und Volltextdatenbanken. Häufig fallen dabei Nutzungsspuren an, die Aufschluss geben über gesuchte und genutzte Inhalte, Verweildauern und andere Arten der wissenschaftlichen Aktivität. Diese Nutzungsspuren können von den Anbietenden der Informationsressourcen festgehalten, aggregiert und weiterverwendet oder verkauft werden. Das Informationspapier legt die Transformation von Wissenschaftsverlagen hin zu Data Analytics Businesses dar, verweist auf die Konsequenzen daraus für die Wissenschaft und deren Einrichtungen und benennt die zum Einsatz kommenden Typen der Datengewinnung. Damit dient es vor allem der Darstellung gegenwärtiger Praktiken und soll zu Diskussionen über deren Konsequenzen für die Wissenschaft anregen. Es richtet sich an alle Wissenschaftlerinnen und Wissenschaftler sowie alle Akteure in der Wissenschaftslandschaft.
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Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016)
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Maaten, L. van den: Learning a parametric embedding by preserving local structure (2009)
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Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014)
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Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016)
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Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012)
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Maaten, L. van den; Hinton, G.: Visualizing data using t-SNE (2008)
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Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999)
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- Date
- 17. 7.2002 19:22:06
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Jäger, L.: Von Big Data zu Big Brother (2018)
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- Date
- 22. 1.2018 11:33:49
