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Qualitative Data Repository 2018-2021

Qualitative Data Repository 2018-2021
定性数据存储库 2018-2021
批准号:
1823950
负责人:
Colin Elman
金额:
$166.79万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-04-01 至 2024-03-31

项目摘要

项目成果

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中文摘要
翻译
定性数据存储库(QDR)管理、保存、发布和下载社会科学定性研究以及定性数据和分析发挥重要作用的多方法研究产生的数字数据。QDR是美国第一个致力于处理此类数据的领域存储库。该资料库还开发、传播和促进用于管理、共享和重复使用定性数据以及追求研究透明度的标准和技术。美国国家科学基金会的资金支持QDR S努力增加其数据持有量和开发额外的功能(强调可伸缩性、互操作性和透明度工具)。该基金会的支持还使QDR能够为研究人员和数据库管理员组织定制的研讨会和培训课程,以努力扩大定性数据管理方面的专业知识,并鼓励传授定性数据管理技能。此外,该项目寻求进一步将QDR纳入学术生态系统,促进与机构审查委员会和社会科学出版基础设施的互动,为学者提供随时获取支撑其出版物的数据和材料的新方法。QDR预计在2018年底获得CoreTrustSeal认证。该存储库由亚马逊网络服务(AWS)托管,并使用开源存储库软件Datverse。与Dataverse开发社区合作,QDR正在设计一些特性和功能,使Datverse能够捕捉到定性数据的优势。QDR S是美国社会科学数据档案馆联盟(社会科学数据保存联盟[Data-PASS])的成员,保证了对QDR数据的连续访问;QDR也是数据保存网络的成员,该网络为QDR?S的数据提供分布式长期保存。在赠款期间,QDR将推出几个功能,以进一步加强其对定性和多方法研究社区的服务,包括:QDR数据的更大可发现性;文件级别的数据管理;自动禁运;定制子项设置;大文件传输;多媒体数据预览;全文索引;用于捕获来源和管理的消息和日志系统;以及重新设计的用户界面。QDR还在开发透明调查注释(ATI),这是一种使定性研究更严谨和更具说服力的解决方案,应该会彻底改变此类研究的陈述和接受方式。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Qualitative Data Repository (QDR) curates, preserves, publishes, and enables the download of digital data arising from qualitative research in the social sciences, and from multi-method research in which qualitative data and analyses play a significant role. QDR is the first domain repository in the United States dedicated to working with such data. The repository also develops, disseminates, and promotes standards and techniques for managing, sharing, and reusing qualitative data, and for pursuing research transparency. NSF funding supports QDR?s efforts to increase its data holdings and to develop additional functionality (emphasizing scaling, interoperability, and tools for transparency). The foundation's support also enables QDR to organize customized workshops and training sessions for researchers and data librarians in an effort to expand expertise in qualitative data management and to encourage instruction on qualitative data-management skills. Additionally, the project seeks to further integrate QDR into the academic ecosystem, facilitating interaction with Institutional Review Boards and the social science publication infrastructure, developing new ways for scholars to provide ready access to the data and materials that underpin their publications. QDR expects to receive CoreTrustSeal certification by the end of 2018. The repository is hosted by Amazon Web Services (AWS) and employs the open-source repository software Dataverse. In conjunction with the Dataverse development community, QDR is designing features and functionality that will allow Dataverse to capture the strengths of qualitative data. QDR?s membership in a consortium of U.S. social sciences data archives (Data Preservation Alliance for the Social Sciences [Data-PASS]) guarantees continuous access to QDR data; QDR is also a member of the Data Preservation Network (DPN), which provides distributed long-term preservation for QDR?s data. During the grant period, QDR will introduce several features to further enhance its service to qualitative and multi-method research communities, including: augmented discoverability of QDR data; data curation at the file-level; automated embargoes; custom subsetting; large file transfer; preview of multimedia data; full-text indexing; a message and log system to capture provenance and curation; and a redesigned user interface. QDR is also developing Annotation for Transparent Inquiry (ATI), a solution for rendering qualitative research more rigorous and persuasive that should revolutionize how such research is represented and received.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(11)
专著(0)
科研奖励(0)
会议论文
An epic journey in sharing: The story of a young researcher's journey to share her data and the information professionals who tried to help
史诗般的分享之旅:一位年轻研究人员分享数据和试图提供帮助的信息专业人士的故事
DOI: 10.29173/iq942
发表时间: 2019
期刊: IASSIST Quarterly
影响因子: --
作者: [Karcher, Sebastian, Lafferty-Hess, Sophia]
通讯作者: Lafferty-Hess, Sophia
Empowering Transparency: Annotation for Transparent Inquiry (ATI)
增强透明度:透明查询注释 (ATI)
DOI: 10.1017/s1049096521000287
发表时间: 2021
期刊: PS: Political Science & Politics
影响因子: --
作者: [Kapiszewski, Diana, Karcher, Sebastian]
通讯作者: Karcher, Sebastian
Curating for Accessibility
策划无障碍
DOI: 10.2218/ijdc.v17i1.837
发表时间: 2022
期刊: International Journal of Digital Curation
影响因子: --
作者: [Anderson, Theresa, Colón, Randy D., Goben, Abigail, Karcher, Sebastian]
通讯作者: Karcher, Sebastian
Annotation for transparent inquiry: Transparent data and analysis for qualitative research
透明探究注解:定性研究的透明数据和分析
DOI: 10.29173/iq959
发表时间: 2019
期刊: IASSIST Quarterly
影响因子: --
作者: [Karcher, Sebastian, Weber, Nicholas]
通讯作者: Weber, Nicholas
共 10 条
    Support for Institutes and Research Groups on Qualitative and Multi-Method Research: 2024-2026
    • 批准号:
      2343087
    • 项目类别:
      Standard Grant
    • 资助金额:
      $35.0万
    • 财政年份:
      2024
    • 负责人:
      Colin Elman
    • 依托单位:
    EAGER: Mapping Open Science through the Journal Editors Discussion Interface
    • 批准号:
      2332061
    • 项目类别:
      Standard Grant
    • 资助金额:
      $27.5万
    • 财政年份:
      2023
    • 负责人:
      Colin Elman
    • 依托单位:
    Qualitative Data Repository 2021-2024
    • 批准号:
      2116935
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $129.97万
    • 财政年份:
      2021
    • 负责人:
      Colin Elman
    • 依托单位:
    Support for Institutes and Research Groups on Qualitative and Multi-Method Research: 2021-2023
    • 批准号:
      1948724
    • 项目类别:
      Standard Grant
    • 资助金额:
      $23.69万
    • 财政年份:
      2020
    • 负责人:
      Colin Elman
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
    Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      40万元
    • 批准年份:
      2020
    • 负责人:
      Vikrant Gupta
    • 依托单位:
    基于Linked Open Data的Web服务语义互操作关键技术
    • 批准号:
      61373035
    • 项目类别:
      面上项目
    • 资助金额:
      77.0万元
    • 批准年份:
      2013
    • 负责人:
      冯志勇
    • 依托单位: