Qualitative Data Repository 2021-2024

定性数据存储库 2021-2024

• 批准号: 2116935
• 负责人: Colin Elman
• 金额: $ 129.97万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2116935&HistoricalAwards=false
• 关键词: Qualitative; Data; Repository; 2021; 2024

This award funds the Qualitative Data Repository (QDR), an open repository dedicated to the curation, preservation, and publication of data generated through qualitative and multi-method research. QDR, a collaborative project led by social scientists and information scientists, is active in many disciplines in the social, behavioral, health, and education sciences. The repository promotes the progress of science by encouraging and empowering researchers to share their qualitative data; building infrastructure to support the openness of qualitative research; and encouraging institutional change to advance research transparency and allow qualitative data to be shared ethically and legally (i.e., without harming human participants or infringing proprietary constraints). Data sharing and reuse are indispensable components of science that help to make it more rigorous, cumulative, and efficient, as well as less expensive. The Qualitative Data Repository (QDR), a collaborative project led by social scientists and information scientists, is active in many disciplines in the social, behavioral, health, and education sciences. Certified as a “trusted data repository” by CoreTrustSeal, QDR is a key part of the infrastructure supporting open science in the US. Data shared via QDR can be used for multiple goals: to verify results and claims in publications based on the data; for secondary analysis to answer new questions, thus facilitating discovery and the production of knowledge; and to improve pedagogy through empowering active learning. This award enables QDR to organize customized workshops and training sessions for researchers and data librarians on qualitative data-management. By further integrating QDR into the academic ecosystem and facilitating interaction with Institutional Review Boards and the social science publication infrastructure, the repository continues to develop new ways for scholars to provide ready access to the data and materials that underpin their scientific publications.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.

该奖项资助了定性数据库（QDR），这是一个开放的数据库，致力于管理，保存和发布通过定性和多方法研究产生的数据。 QDR是一个由社会科学家和信息科学家领导的合作项目，活跃于社会，行为，健康和教育科学的许多学科。知识库通过鼓励和授权研究人员分享他们的定性数据来促进科学的进步;建立基础设施以支持定性研究的开放性;鼓励机构变革以提高研究透明度并允许定性数据在道德和法律上共享（即，而不伤害人类参与者或侵犯所有权约束）。数据共享和重用是科学不可或缺的组成部分，有助于使其更加严格，累积和有效，以及更便宜。定性数据库（QDR）是由社会科学家和信息科学家领导的一个合作项目，活跃于社会，行为，健康和教育科学的许多学科。 QDR被CoreTrustSeal认证为“可信数据存储库”，是支持美国开放科学基础设施的关键部分。 通过《四年一度防务评估报告》共享的数据可用于多个目标：验证基于数据的出版物中的结果和声明;进行二次分析以回答新问题，从而促进知识的发现和产生;通过增强主动学习能力来改进教学法。 该奖项使QDR能够为研究人员和数据库管理员组织关于定性数据管理的定制研讨会和培训课程。通过进一步将QDR融入学术生态系统，并促进与机构审查委员会和社会科学出版基础设施的互动，该知识库继续为学者们开发新的方法，使他们能够方便地访问支撑其科学出版物的数据和材料。该奖项反映了美国国家科学基金会的法定使命，并被认为是值得通过利用基金会的智力价值和更广泛的评估来支持的影响审查标准。

项目成果

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
• 作者: Anderson, Theresa;Colón, Randy D.;Goben, Abigail;Karcher, Sebastian
• 通讯作者: Karcher, Sebastian