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Qualitative Data Repository 2015-2016

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:
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
项目状态:
已结题
起止时间:
2014-09-15 至 2017-11-30

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)于2014年1月在锡拉丘兹大学启动。QDR是美国第一个通用的场所,用于存储和共享通过社会科学定性和多方法研究产生或收集的数字数据。该存储库管理、管理、保存和共享数字数据,还开发和传播从事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、共享和再利用,以及参与研究透明度。QDR已经取得了很好的进展,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界接触;(2)技术能力--确保硬件的安全,并开发软件,以便能够存放、编制索引、搜索和下载定性数据;(3)内容征集和策划用于二次分析的定性数据项目,以增加研究透明度,并加强教学;(4)概念框架--为促进定性研究中的数据共享和透明度制定知识框架、语言、技术和实践以及指导;以及(5)宣传和说服--激发和参与辩论和对话,以产生分享定性数据、进行二次数据分析、评估实证研究和利用数据进行教学的标准,并鼓励和教育人们这样做。制度化的储存库,如QDR,产生多方面的好处。首先,它们使共享数据更加可用、可发现、有意义、可引用、安全、持久和可广泛访问,并提高了数据可见性。其次,它们还减少了数据收集的冗余,允许数据积累,并允许进行二次分析,鼓励比较研究和新的研究。第三,通过提供数据共享平台,这种储存库鼓励透明的研究;可以对这种研究进行评估和复制,鼓励方法上的严谨,并促进研究方法的持续发展。考虑到分享定性社会科学家产生的丰富而不同种类的数据的薄弱传统,QDR在这些方面增加的价值尤其重要,这些数据往往是通过相当大的努力产生的。QDR的工作人员是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,重点是存储、共享和重复使用这些数据。定性政治学家乐于与QDR分享他们的数据,因为他们认为QDR是一个同情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,这是支撑研究和教学的基础设施:它允许两者整合,从而加强两者。QDR有可能扩大来自世界各地的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能见度,该储存库鼓励智力交流和认知社区的形成和发展,并作为研究网络和伙伴关系的平台。
英文摘要
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.
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会议论文
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: