SAVI: Collaborative Research: Fostering New Collaborations in Open Online Community Data Research: Prototyping an Open Collaboration Data Factory

SAVI：协作研究：在开放在线社区数据研究中促进新的协作：构建开放协作数据工厂的原型

• 批准号: 1449209
• 负责人: Sean Goggins
• 金额: $ 19.49万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1449209&HistoricalAwards=false
• 关键词: SAVI; Collaborative; Research; Fostering; New

Open online communities (OOC), such as Wikipedia or free and open source software (FOSS) development projects, have emerged as significant drivers of innovation, economic activity and social well-being. OOCs play important roles in a wide variety of areas, such as software development, knowledge management, education, health and scientific discovery. With support from both American and international funding agencies, scholars from diverse disciplines, including computer science, sociology, mathematics, economics, physics, anthropology, organization science and communications, have been studying OOCs to build disciplinary understanding. However, differences in data and method impede the development of coherent understandings across disciplines. The study of OOCs is nascent, and as yet not much attention has been paid to the development of principles and systems for sharing data and detailed methodological approaches. These gaps limit scientific progress around OOCs even as they are increasing in importance for organizing and accomplishing work. The goal of this Science Across Virtual Institutes (SAVI) project is to build an international inter-disciplinary community of scholars who can collaborate to overcome disciplinary differences in research aims, data and method. The supported collaboration will enable synthesis of OOC research, which in turn will increase the coherence of scientific and public knowledge across disciplines that study OOCs, making OCCs more productive and effective. The project design is based on the principle that research collaborations among scholars from multiple disciplines are more likely to develop from actively engaging potential collaborators in a shared activity, rather than simply getting them together in a room to talk. Accordingly, the project will involve participants in a series of working groups, workshops and hackathons focused on the activity of specifying, designing and prototyping an ?Open Collaboration Data Factory? (OCDF). The long-term vision for the OCDF includes a common set of easily accessible and replicable research datasets, and tools and processes that support research addressing the challenges of OOC systems, such as workflow tools to encourage creation of high-quality datasets; practice guidelines to facilitate consistent application of common research methods; documented research and resource exemplars to support coherent mapping of theory, data-based measures and available analytic tools; and ethical and privacy guidelines for processing OOC data. The SAVI funds will support coordination work, meetings and collocated prototyping among OOC researchers from diverse disciplines in the USA and Europe to build community through taking the initial steps towards this vision. The project will also include an initial phase inventorying research communities and research questions to in order to identify, characterize and annotate available datasets and software tools and identify strategies for increasing compatibility between them. All products and outcomes of the project will be made available under open licenses to further promote the reproducibility of studies and methods.This is designated as a Science Across Virtual Institutes (SAVI) award and is co-funded by NSF's Office of International and Integrative Activities.

开放在线社区 (OOC)，例如维基百科或自由开源软件 (FOSS) 开发项目，已成为创新、经济活动和社会福祉的重要驱动力。 OOC 在软件开发、知识管理、教育、健康和科学发现等众多领域发挥着重要作用。在美国和国际资助机构的支持下，计算机科学、社会学、数学、经济学、物理学、人类学、组织科学和传播学等不同学科的学者一直在研究 OOC 以建立学科理解。然而，数据和方法的差异阻碍了跨学科的连贯理解的发展。 OOC 的研究还处于起步阶段，迄今为止，尚未对共享数据的原则和系统以及详细的方法论的发展给予太多关注。这些差距限制了 OOC 的科学进步，尽管它们对于组织和完成工作的重要性日益增加。虚拟研究所科学 (SAVI) 项目的目标是建立一个国际跨学科学者社区，这些学者可以合作克服研究目标、数据和方法方面的学科差异。支持的合作将实现 OOC 研究的综合，这反过来又将提高 OOC 研究跨学科的科学和公共知识的一致性，使 OCC 更加富有成效和高效。该项目设计的原则是，来自多个学科的学者之间的研究合作更有可能通过积极吸引潜在合作者参与共同活动而发展，而不是简单地将他们聚集在一个房间里交谈。因此，该项目将让参与者参加一系列工作组、研讨会和黑客马拉松，重点关注“开放协作数据工厂”的指定、设计和原型设计活动。 （OCDF）。 OCDF 的长期愿景包括一套通用的易于访问和可复制的研究数据集，以及支持解决 OOC 系统挑战的研究的工具和流程，例如鼓励创建高质量数据集的工作流程工具；实践指南，以促进共同研究方法的一致应用；记录研究和资源范例，以支持理论、基于数据的测量和可用分析工具的连贯映射；以及处理 OOC 数据的道德和隐私准则。 SAVI 资金将支持来自美国和欧洲不同学科的 OOC 研究人员之间的协调工作、会议和并置原型设计，通过采取初步步骤实现这一愿景，建立社区。该项目还将包括一个初始阶段，清查研究群体和研究问题，以便识别、描述和注释可用的数据集和软件工具，并确定提高它们之间兼容性的策略。该项目的所有产品和成果将在开放许可下提供，以进一步促进研究和方法的可重复性。这被指定为跨虚拟研究所科学 (SAVI) 奖项，由 NSF 国际和综合活动办公室共同资助。