Qualitative Data Repository 2015-2016

2015-2016 年定性数据存储库

• 批准号: 1424191
• 负责人: Colin Elman
• 金额: $ 89.9万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1424191&HistoricalAwards=false
• 关键词: Qualitative; Data; Repository; 2015; 2016

The Qualitative Data Repository (QDR) launched in January 2014 at Syracuse University. QDR is the first general purpose venue in the United States for storing and sharing digital data generated or collected through qualitative and multi-method research in the social sciences. The repository curates, manages, preserves, and shares digital data, and also develops and disseminates standards and techniques for engaging in these practices. It also vigorously promotes the effective management, sharing, and reuse of qualitative data, and engagement in research transparency. QDR has made excellent progress, and will continue to advance, along five dimensions: (1) governance - developing internal management structures and policies and engaging with the broader data-management community; (2) technical capacity - securing the hardware to house, and developing the software to enable the deposit, indexing, search, and download of qualitative data; (3) content - soliciting and curating qualitative data projects for secondary analysis, to increase research transparency, and to enhance teaching; (4) ideational frameworks - developing the intellectual framework for, a language to talk about, techniques and practices to engage in, and guidance to facilitate data sharing and transparency in qualitative research; and (5) promulgation and persuasion - stimulating and participating in debate and dialogue to generate standards for sharing qualitative data, conducting secondary data analysis, evaluating empirical research, and teaching with data, and encouraging and teaching people to do so. Institutionalized repositories such as QDR produce multi-faceted benefits. First, they allow shared data to be more usable, discoverable, meaningful, citable, secure, durable, and broadly accessible, and they increase data visibility. Second, they also reduce data-collection redundancy, allow data to accumulate, and allow for secondary analysis, encouraging comparative study and new research. Third, by offering a platform for data-sharing, such repositories encourage transparent research; such research can be evaluated and replicated, encouraging methodological rigor and facilitating the continued development of research methods. The value QDR adds on each of these fronts is particularly important given the weak tradition of sharing the rich and heterogeneous data that qualitative social scientists generate, often through considerable effort. QDR is staffed by scholars with experience curating qualitative data, and offers a broad range of guidance, educational resources, and training focused on storing, sharing, and reusing such data. Qualitative political scientists are comfortable sharing their data with QDR as they perceive it to be a venue that is sympathetic to the goals and techniques of their research tradition. QDR enhances the data-management infrastructure in the United States, an infrastructure that underpins both research and teaching: it allows for their integration and thereby strengthens both. QDR has the potential to broaden the access of scholars from around the world to a wealth of qualitative social science data. In addition, by increasing researcher visibility, the repository encourages intellectual exchange and the formation and growth of epistemic communities, and serves as a platform for research networks and partnerships.

定性数据存储库 (QDR) 于 2014 年 1 月在雪城大学推出。 QDR 是美国第一个用于存储和共享通过社会科学研究定性和多方法研究生成或收集的数字数据的通用场所。该存储库负责管理、管理、保存和共享数字数据，并开发和传播参与这些实践的标准和技术。它还大力促进定性数据的有效管理、共享和重用以及研究透明度。 QDR 已经取得了巨大进展，并将继续在五个方面取得进展：(1) 治理——制定内部管理结构和政策，并与更广泛的数据管理社区合作； (2) 技术能力——确保硬件的安全，并开发软件以实现定性数据的存储、索引、搜索和下载； (3) 内容——征集和策划定性数据项目以进行二次分析，以提高研究透明度并加强教学； (4) 理念框架——开发知识框架、讨论语言、参与技术和实践，以及促进定性研究数据共享和透明度的指导； (5) 颁布和说服——激发和参与辩论和对话，以制定共享定性数据、进行二次数据分析、评估实证研究和数据教学的标准，并鼓励和教导人们这样做。 QDR 等制度化存储库可带来多方面的好处。首先，它们使共享数据变得更加可用、可发现、有意义、可引用、安全、持久和广泛访问，并且提高了数据可见性。其次，它们还减少了数据收集冗余，允许数据积累，并允许二次分析，鼓励比较研究和新研究。 第三，通过提供数据共享平台，此类存储库鼓励透明的研究；此类研究可以进行评估和复制，从而鼓励方法的严谨性并促进研究方法的持续发展。 鉴于共享定性社会科学家通常通过大量努力生成的丰富且异构数据的传统薄弱，QDR 在这些方面增加的价值尤其重要。 QDR 的工作人员均具有管理定性数据经验的学者，并提供广泛的指导、教育资源和培训，重点关注存储、共享和重用此类数据。定性政治科学家乐于与 QDR 分享他们的数据，因为他们认为 QDR 是一个支持他们研究传统的目标和技术的场所。 QDR 增强了美国的数据管理基础设施，这一基础设施支撑着研究和教学：它允许将两者集成，从而加强两者。 QDR 有潜力扩大世界各地学者获取大量定性社会科学数据的机会。此外，通过提高研究人员的知名度，该存储库鼓励知识交流以及认知社区的形成和发展，并充当研究网络和伙伴关系的平台。