Qualitative Data Repository 2016-2018

2016-2018 年定性数据存储库

• 批准号: 1628636
• 负责人: Colin Elman
• 金额: $ 98.68万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1628636&HistoricalAwards=false
• 关键词: Qualitative; Data; Repository; 2016; 2018

General SummaryThe Qualitative Data Repository's (QDR) central mission is to ingest, curate, store, preserve, publish, and enable the download of digital data arising from qualitative and multi-method research in the social sciences. The repository also develops, disseminates, and promotes standards and techniques for managing, sharing, and reusing qualitative data, and pursuing research transparency. NSF funding helps to increase QDR's data holdings; develop additional functionality (emphasizing scaling, interoperability, usability, and tools for transparency); expand expertise in qualitative data management; and increase efforts to teach these qualitative data-management skills. Additionally, the project seeks to further integrate QDR into the social science publication infrastructure and the data management community. The QDR vigorously promotes the effective management, sharing, and reuse of qualitative data, and engagement in research transparency. Technical SummaryQDR seeks to advance the storage and availability of qualitative data in five ways : (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. QDR has the potential to broaden the access of scholars from around the world to a wealth of qualitative social science data. 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）的中心任务是摄取，策划，存储，保存，发布，并允许下载来自社会科学定性和多方法研究的数字数据。存储库还开发、传播和促进管理、共享和重用定性数据的标准和技术，并追求研究的透明度。国家科学基金会的资助有助于增加QDR的数据储备；开发额外的功能（强调可扩展性、互操作性、可用性和透明度工具）；拓展定性数据管理方面的专业知识；并加大努力，教授这些定性数据管理技能。此外，该项目还寻求将QDR进一步整合到社会科学出版基础设施和数据管理社区中。QDR大力促进定性数据的有效管理、共享和再利用，以及参与研究透明度。技术摘要qdr旨在通过五种方式促进定性数据的存储和可用性：(1)治理——制定内部管理结构和政策，并与更广泛的数据管理界接触；(2)技术能力——确保硬件安装，开发软件，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，用于二次分析，以提高研究透明度，并加强教学；(4)概念框架——为定性研究开发智力框架、讨论语言、技术和实践，以及促进数据共享和透明度的指导；(5)传播和说服——激发和参与辩论和对话，以产生共享定性数据、进行二手数据分析、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有可能扩大世界各地学者获得丰富的定性社会科学数据的途径。该知识库鼓励知识交流和知识社区的形成和发展，并作为研究网络和伙伴关系的平台。