与文本和数据挖掘相关的许可挑战:我们如何为客户提供他们需要的东西?

Q2 Social Sciences

Journal of librarianship and scholarly communication Pub Date : 2022-09-02 DOI:10.31274/jlsc.15530

Peter Mccracken, Emma Raub

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引用次数: 0

摘要

今天的研究人员希望能够完成对许多类型文本数据的文本和数据挖掘（TDM）工作。但他们通常更多地受到合同对他们可以使用哪些数据以及如何使用这些数据的限制，而不是对他们可以获得哪些数据的限制。本文列出了目前使用的不同类型的TDM流程，可能阻碍研究人员完成他们想要的工作的问题，以及一些可能的解决方案。

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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Licensing Challenges Associated With Text and Data Mining: How Do We Get Our Patrons What They Need?

Today’s researchers expect to be able to complete text and data mining (TDM) work on many types of textual data. But they are often blocked more by contractual limitations on what data they can use, and how they can use it, than they are on what data may be available to them. This article lays out the different types of TDM processes currently in use, the issues that may block researchers from being able to do the work they would like, and some possible solutions.

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来源期刊

Journal of librarianship and scholarly communication

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

18 weeks