Data Documents

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Knowledge Organization Pub Date : 2021-01-01 DOI:10.5771/0943-7444-2021-4-307
Dominic J. Farace, Hélène Prost, A. Zane, Birger Hjørland
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引用次数: 2

Abstract

This article presents and discusses different kinds of data documents, including data sets, data studies, data papers and data journals. It provides descriptive and bibliometric data on different kinds of data documents and discusses the theoretical and philosophical problems by classifying documents according to the DIKW model (data documents, information documents, knowl­edge documents and wisdom documents). Data documents are, on the one hand, an established category today, even with its own data citation index (DCI). On the other hand, data documents have blurred boundaries in relation to other kinds of documents and seem sometimes to be understood from the problematic philosophical assumption that a datum can be understood as “a single, fixed truth, valid for everyone, everywhere, at all times”
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数据文档
本文介绍并讨论了不同类型的数据文档,包括数据集、数据研究、数据论文和数据期刊。它提供了不同类型数据文档的描述性和文献计量性数据,并根据DIKW模型(数据文档、信息文档、知识文档和智慧文档)对文档进行分类,讨论了理论和哲学问题。一方面,数据文档现在已经是一个成熟的类别,甚至有自己的数据引用索引(DCI)。另一方面,数据文档与其他类型的文档之间的界限模糊,有时似乎是从一个有问题的哲学假设来理解的,即数据可以被理解为“一个单一的,固定的真理,在任何地方,任何时候对每个人都有效”。
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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