Annotation for transparent inquiry: Transparent data and analysis for qualitative research

IASSIST quarterly Pub Date : 2019-06-21 DOI:10.29173/IQ959
Sebastian Karcher, Nicholas M. Weber
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引用次数: 15

Abstract

How can authors using many individual pieces of qualitative data throughout a publication make their research transparent? In this paper we introduce Annotation for Transparent Inquiry (ATI), an approach to enhance transparency in qualitative research. ATI allows authors to connect specific passages in their publication with an annotation. These annotations provide additional information relevant to the passage and, when possible, include a link to one or more data sources underlying a claim; data sources are housed in a repository. After describing ATI’s conceptual and technological implementation, we report on its evaluation through a series of workshops conducted by the Qualitative Data Repository (QDR) and present initial results of the evaluation. The article ends with an outlook on next steps for the project.
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透明查询注释:定性研究的透明数据和分析
作者如何在出版物中使用许多单独的定性数据使他们的研究透明?本文介绍了透明查询注释(ATI),这是一种提高定性研究透明度的方法。ATI允许作者用注释将出版物中的特定段落连接起来。这些注释提供了与文章相关的额外信息,并且在可能的情况下,包括指向一个或多个数据来源的链接。数据源位于存储库中。在描述了ATI的概念和技术实现之后,我们报告了定性数据存储库(QDR)通过一系列研讨会进行的评估,并介绍了评估的初步结果。文章最后展望了该项目的后续步骤。
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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