特邀编辑注:关于质性研究支持的特刊

IASSIST quarterly Pub Date : 2019-06-21 DOI:10.29173/IQ954
L. Kellam, Celia Emmelhainz
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引用次数: 0

摘要

欢迎来到IASSIST季刊(IQ 43:2, 2019)第43卷第二期。本刊收录了四篇关于质性研究支持的论文。这一特殊问题源于IASSIST定性社会科学和人文数据兴趣小组(QSSHDIG)关于如何最好地支持定性研究人员的对话。该小组成立于2016年,旨在探索社会科学和人文科学领域数据专业人员面临的挑战和机遇,并专注于定性、文本和其他非数字数据的使用、重用、共享和存档。在“透明查询的注释(ATI)”一文中,Sebastian Karcher和Nic Weber介绍了他们在定性研究中采用的一种透明的新方法,这是他们在纽约锡拉丘兹大学的定性数据存储库中一直在探索的。作为在定性研究中“展示自己的工作”问题的一种解决方案,ATI允许研究人员将最终报告与用于支持主张的潜在定性和文本数据联系起来。以假设为例。他们讨论了ATI的优点和缺点,特别是有效地注释一篇定性文章所需的时间和广泛的网络显示的技术限制。下一篇文章将重点介绍定性研究人员如何重新使用存档材料并用于构建他们的论点。在《研究驱动的档案发现方法》一书中,戴安娜·马什探讨了定性研究人员需要从美国国家人类学档案馆的藏品中得到什么,以便为那些不习惯在档案馆工作的人改善档案发现。乔治亚州立大学图书馆研究数据服务团队负责人Mandy Swygart-Hobaugh在《将方法带入疯狂》一书中概述了一个项目,该项目旨在弥合培训研究人员使用定性数据软件和培训他们使用定性方法之间的差距。她的答案是与一位社会学教授合作举办研讨会,这位教授提供了一个方法框架,而她将这些原则应用于NVivo的一个项目。这些成功的研讨会有助于鼓励研究人员考虑定性方法,同时促进CAQDAS软件的使用。Jonathan Cain, Liz Cooper, Sarah DeMott和Alesia Montgomery在他们的文章《QDA藏在哪里?》借鉴最初为QSSHDIG进行的一项研究,创建了图书馆定性数据服务列表。当他们意识到找到这些服务相当困难时,他们扩大了研究范围,以检查支持QDA的图书馆站点的可发现性。这项对95个学术图书馆网站的研究提供了对寻找和访问支持全面定性研究需求的图书馆网站的问题的见解。他们还概述了提供更容易访问的定性数据服务的网站的关键特征。我们感谢我们的作者参与本期特刊,并提供他们对定性数据和研究的见解。如果您对与定性研究相关的问题感兴趣,请加入定性社会科学与人文科学数据兴趣小组。从澳大利亚的IASSIST 2019开始,我们的兴趣小组有了一个新的领导团队,我们的两位作者Sebastian Karcher和Alesia Montgomery接任共同召集人。我们确信他们会很乐意听到你对小组的想法,我们期待着在未来与定性数据社区更多地合作。Lynda Kellam,康奈尔社会与经济研究所Celia Emmelhainz,加州大学伯克利分校
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Guest editors' notes: Special issue on qualitative research support
Welcome to the second issue of Volume 43 of the IASSIST Quarterly (IQ 43:2, 2019). Four papers are presented in this issue on qualitative research support. This special issue arises from conversations in the Qualitative Social Science and Humanities Data Interest Group (QSSHDIG) at IASSIST about how best to support qualitative researchers. This group was founded in 2016 to explore the challenges and opportunities facing data professionals in the social sciences and humanities, and has focused on using, reusing, sharing, and archiving of qualitative, textual, and other non-numeric data. In ‘Annotation for transparent inquiry (ATI),’ Sebastian Karcher and Nic Weber present their work on a new approach to transparency in qualitative research by the same name, which they have been exploring at the Qualitative Data Repository at the University of Syracuse, New York. As one solution to the problem of ‘showing one’s work’ in qualitative research, ATI allows researchers to link final reports back to the underlying qualitative and textual data used to support a claim. Using the example of Hypothes.is, they discuss the positives and negatives of ATI, particularly the amount of time required to annotate a qualitative article effectively and technical limitations in widespread web display. The next article highlights how archived materials can be re-used by qualitative researchers and used to build their arguments. In ‘Research driven approaches to archival discovery,’ Diana Marsh examines what qualitative researchers need from the collections at the National Anthropological Archives in the United States, in order to improve archival discovery for those not as accustomed to working in the archives. In ‘Bringing method to the madness,’ Mandy Swygart-Hobaugh, Leader of the Research Data Services Team at the Georgia State University Library, outlines a project created to bridge the gap between training researchers to use qualitative data software and training them in qualitative methods. Her answer has been a collaborative workshop with a sociology professor who provides a methodological framework while she applies those principles to a project in NVivo. These successful workshops have helped to encourage researchers to consider qualitative methods while at the same time promoting the use of CAQDAS software. Jonathan Cain, Liz Cooper, Sarah DeMott, and Alesia Montgomery in their article ‘Where QDA is hiding?’ draw on a study originally conducted for QSSHDIG to create a list of qualitative data services in libraries. When they realized that finding these services was quite difficult, they expanded the study to examine the discoverability of library sites supporting QDA. This study of 95 academic library websites provides insight into the issues of finding and accessing library websites that support the full range of qualitative research needs. They also outline the key characteristics of websites that provide more accessible access to qualitative data services. We thank our authors for participating in this special issue and providing their insights on qualitative data and research. If you are interested in issues related to qualitative research, then please join the Qualitative Social Sciences and Humanities Data Interest Group. Starting with IASSIST 2019 in Australia, our interest group has a new leadership team with two of our authors, Sebastian Karcher and Alesia Montgomery, taking over as co-conveners. We are certain that they would love to hear your ideas for the group, and we look forward to working with the qualitative data community more in the future.  Lynda Kellam, Cornell Institute for Social & Economic Research Celia Emmelhainz, University of California, Berkeley
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