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

提案编号：CNS 07-08767 07- 08437 PI（s）： 梅根？康克林 Crowston，KevinInstitution：Elon University 锡拉丘兹大学Elon，NC 27244-2010 锡拉丘兹，纽约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存档形式的分布式协作社区资源，使自由/自由开源软件（FLOSS）及其开发的研究成为可能。为了提高研究的可重复性和一致性并扩大数据的访问，FLOSSmole收集，组织和共享FLOSS开发的可比数据和分析。FLOSSmole是一个组织系统的框架，用于方便访问许多同时和目前未连接的FLOSS研究工作收集的大量数据，FLOSSmole旨在成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，该项目是相关的研究，如以人为中心的计算和网络基础设施的各个领域。它促成了数据收集、汇总和共享方面的合作。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以及开发人员如何加入和工作在这些团队中的理解。更广泛的影响：支持改善学术界，软件行业从业者和社会普遍使用的合作研究，该基础设施促进了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、查询和经验促进了教学和学习。该项目应该有利于学生谁对它影响课程和项目的工作。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.