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

建议#：CNS07-08767 07-08437PI(S)：Conklin，Megan Crowston，Kevin Institution：Elon University Syracuse University Elon，NC 27244-2010 Syracuse，NY 13244-1200项目建议：这个合作项目，开发FLOSSmole，一个广泛共享的数据和分析档案形式的分布式协作社区资源，使自由/LIBRE开源软件(FLOSS)的研究和开发成为可能。FLOSSmole的目标是提高研究的重复性和一致性，并扩大对数据的获取，收集、组织和分享有关牙线发展的可比数据和分析。FLOSSmole是一个组织系统的框架，用于促进访问由许多同时进行的和目前未连接的牙线研究工作收集的海量数据，FLOSSmole被设计为一个研究基础设施。由于FLOSS开发提供了成功的计算机支持的协作工作的例子，该项目与各种研究领域相关，如以人为中心的计算和网络基础设施。它使数据收集、汇总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场地，它的开发应该教会我们关于软件进化的知识，以及开发人员如何加入这些团队并在其中工作的理解。广泛的影响：支持改进学者、软件行业从业人员和整个社会使用的一项协作研究，该基础设施促进研究团队之间的国际合作和数据共享。事实上，共享代码、数据、模式、查询和经验可以促进教与学。该项目应该使从事该项目的学生受益，并对课程和项目产生影响。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，促进合作，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.