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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

Colin Elman的其他基金

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中文摘要
翻译
定性数据存储库(QDR)于2014年1月在雪城大学启动。QDR是美国第一个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的通用场所。存储库管理、保存和共享数字数据,还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,以及研究透明度的参与。QDR在五个方面取得了卓越进展,并将继续取得进展:(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。制度化的存储库(如QDR)可以带来多方面的好处。首先,它们允许共享数据更可用、更可发现、更有意义、更可引用、更安全、更持久和更广泛地访问,并且它们增加了数据可见性。其次,它们还减少了数据收集的冗余,允许数据积累,并允许二次分析,鼓励比较研究和新的研究。第三,通过提供一个数据共享的平台,这样的存储库鼓励了透明的研究;这种研究可以加以评价和复制,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相当大的努力生成的丰富而异构的数据的薄弱传统,QDR在这些方面所增加的价值尤为重要。QDR的工作人员由具有管理定性数据经验的学者组成,并提供广泛的指导、教育资源和培训,重点是存储、共享和重用此类数据。定性政治学家乐于与QDR分享他们的数据,因为他们认为QDR是一个与他们的研究传统的目标和技术相一致的地方。QDR加强了美国的数据管理基础设施,这是一个支持研究和教学的基础设施:它允许它们的整合,从而加强了两者。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。此外,通过提高研究人员的可见度,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。
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: