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Collaborative Research: CRI: CRD: Data and analysis archive for research on Free and Open Source Software and its development

Collaborative Research: CRI: CRD: Data and analysis archive for research on Free and Open Source Software and its development
合作研究:CRI:CRD:用于研究自由开源软件及其开发的数据和分析档案
批准号:
0708437
负责人:
Kevin Crowston
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-08-01 至 2011-07-31

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中文摘要
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英文摘要
Proposal #: CNS 07-08767 07-08437PI(s): Conklin, Megan Crowston, KevinInstitution: Elon University Syracuse University Elon, NC 27244-2010 Syracuse, NY 13244-1200Project Proposed:This collaborative project, developing FLOSSmole, a distributed collaborative community resource in the form of a broadly-shared data and analysis archive, enables research on Free/Libre Open Source Software (FLOSS) and its development. With the goals of improving the reproducibility and consistency of the research and expanding access to the data, FLOSSmole collects, organizes, and shares comparable data and analyses of FLOSS development. A framework for organizing a system for facilitating access to the massive amounts of data collected by many simultaneous and currently unconnected FLOSS research efforts, FLOSSmole is designed to be a piece of research infrastructure. Because FLOSS development provides examples of successful computer-supported collaborative work, the project is relevant to various areas of research such as Human-Centered Computing and Cyberinfrastructure. It enables cooperation in data collection, aggregation and sharing. Furthermore, serving as a potential training ground for software developers, its development should teach us about software evolution and the understanding of how developers join and work in these teams.Broader Impacts: Supporting improvement of a piece of collaborative research used by academics, practitioners in the software industry, and by society in general, the infrastructure promotes international collaboration and data sharing among research teams. Indeed, sharing code, data, schemas, queries, and experience promotes teaching and learning. The project should benefit students who work on it impacting courses and projects. Moreover, as an open source project itself the resource contributes to open and share data promoting collaboration, reducing duplicative efforts, and promoting compatibility between research teams.
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Collaborative research: FW-HTF-R: The Future of News Work: Human-Technology Collaboration of Journalistic Research and Narrative Discovery
  • 批准号:
    2129047
  • 项目类别:
    Standard Grant
  • 资助金额:
    $72.17万
  • 财政年份:
    2021
  • 负责人:
    Kevin Crowston
  • 依托单位:
Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces
  • 批准号:
    2106865
  • 项目类别:
    Standard Grant
  • 资助金额:
    $51.11万
  • 财政年份:
    2021
  • 负责人:
    Kevin Crowston
  • 依托单位:
FW-HTF-P: Planning to study automation and the future of news production
  • 批准号:
    2026583
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.09万
  • 财政年份:
    2020
  • 负责人:
    Kevin Crowston
  • 依托单位:
WORKSHOP: The iConference 2018 Doctoral Colloquium
  • 批准号:
    1826897
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.44万
  • 财政年份:
    2018
  • 负责人:
    Kevin Crowston
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
Cell Research
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