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Abstract

"Krajewski draws on recent German media theory and on a rich array of European and American sources in this thought-provoking account of the index card as a tool of information management. In investigating the road from the slips of paper of the 16th century to the data processing of the 20th, Krajewski highlights its twists and turns--failures and unintended consequences, reinventions, and surprising transfers."--Ann M. Blair, Henry Charles Lea Professor of History, Harvard University, and author of Too Much to Know: Managing Scholarly Information before the Modern Age -- Ann Blair "This is a fascinating, original, continuously surprising, and meticulously researched study of the long history of the emergence of card systems for organizing not only libraries but business activities in Europe and the United States. It is particularly important for English language readers due to its European perspective and the extraordinary range of German and other resources on which it draws." --W. Boyd Rayward, Professor Emeritus, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign -- W. Boyd Rayward "Markus Krajewski has done the history of cataloguing and the history of information management a considerable service: I recommend it highly." -- Professor Tom Wilson, Editor-in-Chief, Information Research

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Abstract

The article presents a conceptual framework for distinguishing different sorts of heterogeneous digital materials. The hypothesis is that a wide range of heterogeneous data resources can be characterized and classified due to their particular configurations of hypertext features such as scripts, links, interactive processes, and time scalings, and that the hypertext configuration is a major but not sole source of the messiness of big data. The notion of hypertext will be revalidated, placed at the center of the interpretation of networked digital media, and used in the analysis of the fast-growing amounts of heterogeneous digital collections, assemblages, and corpora. The introduction summarizes the wider background of a fast-changing data landscape.

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Date

22. 2.2013 11:39:23