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Abstract

Die beiden Leitbegriffe des Titels - Buchtitel zugleich einschlägiger Werke - bezeichnen eine Alternative in der frühneuzeitlichen Speicherung und Vermittlung von Wissen: die möglichst umfassende Thesaurierung überkommener Wissensbestände beziehungsweise ihre kritische Sichtung und Auswahl unter bestimmten Relevanzgesichtspunkten. Der eine Titel stammt von dem Zürcher Polyhistor Konrad Gessner, der andere von dem Jesuiten Antonio Possevino. Voraussetzung beider Unternehmen ist der Buchdruck, der etwa hundert Jahre nach seiner Erfindung in bis dahin unerhörtem Ausmaß Schrifttradition zugänglich gemacht hat, aber durch die schiere Quantität zunehmend Strategien zu ihrer Sicherung und Nutzbarmachung verlangt. Der Bibliotheca universalis wie der Bibliotheca selecta geht es um Orientierung in einem immer unübersichtlicheren Bestand schriftlich tradierten Wissens, der den Wissensfortschritt zu behindern droht. Beide haben also nicht wissenschaftliche Erkenntnis selbst, sondern ihre Vermittlung zum Ziel, und sie wollen kein System des Wißbaren entwerfen, sondern auf der Basis hergebrachter Ordnungen des Wissens den Leser dazu anleiten, sich in jenem Bestand zurechtzufinden. Es ist ein erster Vorzug dieser Münchner Dissertation, daß sie dieses Problem rekonstruiert, so daß das frühneuzeitliche Projekt der Bibliothek nicht mehr am falschen Maßstab der Enzyklopädie als Summe des Wißbaren gemessen wird.

RSWK

Wissen / Ordnung / Geschichte 1500-1800

Subject

Wissen / Ordnung / Geschichte 1500-1800

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Date

22. 1.2017 17:12:50

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Abstract

"Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

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Content

Inhalt: Chapter 1. Background -- Chapter 2. Definitions -- Chapter 3. Aims, Objectives, and Methodology -- Chapter 4. Setting the Scene -- Chapter 5. Information Society -- Chapter 6. Drivers for Change -- Chapter 7 A Dysfunctional STM Scene? -- Chapter 8. Comments on the Dysfunctionality of STM Publishing -- Chapter 9. The Main Stakeholders -- Chapter 10. Search and Discovery -- Chapter 11. Impact of Google -- Chapter 12. Psychological Issues -- Chapter 13. Users of Research Output -- Chapter 14. Underlying Sociological Developments -- Chapter 15. Social Media and Social Networking -- Chapter 16. Forms of Article Delivery -- Chapter 17. Future Communication Trends -- Chapter 18. Academic Knowledge Workers -- Chapter 19. Unaffiliated Knowledge Workers -- Chapter 20. The Professions -- Chapter 21. Small and Medium Enterprises -- Chapter 22. Citizen Scientists -- Chapter 23. Learned Societies -- Chapter 24. Business Models -- Chapter 25. Open Access -- Chapter 26. Political Initiatives -- Chapter 27. Summary and Conclusions -- Chapter 28. Research Questions Addressed

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Classification

303.48/33 22

DDC

303.48/33 22