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

项目提案号：CNS 07-08767 07-08437PI(s): Conklin, Megan Crowston， kevin机构：Elon University Syracuse University Elon， NC 27244-2010 Syracuse， NY 13244-1200Project Proposal：该合作项目旨在开发FLOSSmole，这是一个以广泛共享数据和分析档案形式的分布式协作社区资源，可以研究自由/自由开源软件（FLOSS）及其开发。为了提高研究的可再现性和一致性并扩展对数据的访问，FLOSSmole收集、组织和共享FLOSS开发的可比数据和分析。FLOSSmole是一个框架，用于组织一个系统，以方便访问由许多同时和目前未连接的FLOSS研究工作收集的大量数据，FLOSSmole被设计为研究基础设施的一部分。由于FLOSS开发提供了成功的计算机支持协作工作的例子，因此该项目与各种研究领域相关，例如以人为中心的计算和网络基础设施。它使数据收集、聚合和共享方面的合作成为可能。此外，作为软件开发人员的潜在培训基地，它的开发应该教会我们软件进化，并理解开发人员如何加入这些团队并在这些团队中工作。更广泛的影响：支持学术界、软件行业从业者和一般社会使用的协作研究的改进，基础设施促进了研究团队之间的国际协作和数据共享。实际上，共享代码、数据、模式、查询和经验可以促进教与学。该项目应该使参与其工作的学生受益，从而影响课程和项目。此外，作为一个开源项目本身，该资源有助于开放和共享数据，促进协作，减少重复工作，并促进研究团队之间的兼容性。

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.