Making research data findable in digital libraries: A layered model for user-oriented indexing of survey data

Tanja Friedrich, A. Kempf
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引用次数: 6

Abstract

The growing amount of data in research and the aspired culture of data sharing make it necessary to improve data documentation in digital libraries. On these grounds we present a conceptual model for subject indexing of research data. Taking the example of social science survey data we inquire the applicability of established indexing principles. Based on these principles our research incorporates the special characteristics of social science survey data, leading us to a model of layered subject indexing.
使研究数据在数字图书馆中可查找:面向用户的调查数据索引的分层模型
研究中数据量的不断增长和数据共享文化的渴望使得改进数字图书馆的数据文档成为必要。在此基础上,我们提出了一个研究数据主题标引的概念模型。以社会科学调查数据为例,对所建立的索引原则的适用性进行了探讨。基于这些原则,我们的研究结合了社会科学调查数据的特殊特征,导致我们建立了分层主题索引模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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