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)，如维基百科或自由和开放源码软件(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、健康和科学发现等广泛领域发挥着重要作用。在美国和国际资助机构的支持下，来自不同学科的学者，包括计算机科学、社会学、数学、经济学、物理学、人类学、组织科学和传播学，一直在研究开放式课程，以建立对学科的理解。然而，数据和方法的差异阻碍了跨学科连贯理解的发展。开放式有机化合物的研究尚处于起步阶段，尚未对制定共享数据的原则和系统以及详细的方法方法给予太多关注。这些差距限制了围绕OOC的科学进步，尽管它们对组织和完成工作的重要性正在增加。这个跨虚拟机构的科学(SAVI)项目的目标是建立一个国际跨学科学者社区，他们可以合作克服研究目标、数据和方法上的学科差异。所支持的合作将使OOC研究得以综合，这反过来又将增加研究OOC的各学科的科学知识和公共知识的一致性，使OCCS更具生产力和有效性。该项目的设计基于这样一个原则，即来自多个学科的学者之间的研究合作更有可能通过积极参与共享活动中的潜在合作者而发展，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、研讨会和黑客松，重点是指定、设计和原型开放协作数据工厂？的活动。(OCDF)。开放式课程发展基金的长期愿景包括一套共同的、易于获取和可复制的研究数据集，以及支持解决开放式学习系统挑战的研究的工具和程序，例如鼓励创建高质量数据集的工作流程工具；促进共同研究方法一致应用的实践指南；有文件记录的研究和资源样本，以支持理论、基于数据的措施和现有分析工具的连贯映射；以及处理开放式开放式课程数据的伦理和隐私准则。SAVI基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、会议和配置原型，以通过迈出迈向这一愿景的初步步骤来建立社区。该项目还将包括一个初步阶段，对研究社区和研究问题进行清点，以确定、说明和说明现有的数据集和软件工具，并确定加强它们之间兼容性的战略。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重现性。这被指定为跨虚拟机构科学(SAVI)奖，由NSF的国际和综合活动办公室共同资助。