Understanding Conditions for the Emergence of Virtual Organizations in Long-Tail Sciences

了解长尾科学中虚拟组织出现的条件

• 批准号: 1301874
• 负责人: Carl Lagoze
• 金额: $ 15.29万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1301874&HistoricalAwards=false
• 关键词: Understanding; Conditions; Emergence; Virtual; Organizations

The potential of advanced cyberinfrastructure to facilitate new collaborative paradigms and new forms of virtual organizations in science is compelling. However, development of appropriate cyberinfrastructure must consider the diversity of the target scientific communities, their cultures and practices, and how social and technical issues interact in the context of a specific user community. Some highly collaborative fields have been pioneers in the development and adoption of cyberinfrastructure. Others (termed "long-tail sciences") follow an organizational model of independent small research groups. Researchers in these fields would have to overcome significant epistemic, cultural, and institutional hurdles to achieve their collaborative potential and adopt enabling cyberinfrastructure. This project investigates the potential of long-tail sciences to benefit from a range of different types of virtual organizations. Employing an innovative methodology that integrates quantitative (network analysis) and qualitative (ethnographic) techniques, it systematically investigates the differential epistemic and cultural propensity of research fields to adopt into their research practices virtual organizations and the technology that supports them.This project investigates so-called 'long-tail' sciences, where collaborations are generally small, and studies the social and cultural conditions that enable scientific communities in those fields to benefit from investments into new technologies to support their collaborations. Thus, this project complements current cyberinfrastructure research directed at large-scale collaborations and is distinguished by conducting a systematic, comparative study of scientific fields. There are few such studies that seek to understand how field differences shape the uptake of new technologies supporting research collaboration and scientific communication. It is not clear yet what the relevant distinguishing characteristics of research fields are, nor how to reliably identify or construct the appropriate unit of analysis for such comparisons. By systematically exploring field-specific differences this project contributes to a deeper understanding of what cyberinfrastructures and the virtual organizations they support have to offer the long-tail sciences, and what field-specific challenges need to be overcome if they are to be adopted. The results will be relevant to understanding the use of cyberinfrastructure across the disciplinary spectrum to guide funding decisions and development efforts.

先进的网络基础设施在促进科学领域新的协作范式和新的虚拟组织形式方面的潜力是引人注目的。然而，适当的网络基础设施的开发必须考虑目标科学界的多样性、他们的文化和实践，以及社会和技术问题如何在特定用户社区的背景下相互作用。一些高度协作的领域一直是网络基础设施开发和采用的先驱。其他科学（称为“长尾科学”）遵循独立小型研究小组的组织模式。这些领域的研究人员必须克服重大的认知、文化和体制障碍，才能发挥其协作潜力并采用有利的网络基础设施。该项目研究了长尾科学从一系列不同类型的虚拟组织中受益的潜力。 它采用集成定量（网络分析）和定性（人种学）技术的创新方法，系统地调查研究领域在研究实践中采用虚拟组织和支持它们的技术的不同认知和文化倾向。该项目调查所谓的“长尾”科学，其中合作通常很小，并研究使这些领域的科学界受益的社会和文化条件 从投资新技术来支持他们的合作。因此，该项目补充了当前针对大规模合作的网络基础设施研究，并通过对科学领域进行系统的比较研究而著称。很少有此类研究试图了解领域差异如何影响支持研究合作和科学交流的新技术的采用。目前尚不清楚研究领域的相关区别特征是什么，也不清楚如何可靠地识别或构建用于此类比较的适当分析单位。通过系统地探索特定领域的差异，该项目有助于更深入地了解它们支持的网络基础设施和虚拟组织必须提供长尾科学，以及如果要采用它们，需要克服哪些特定领域的挑战。研究结果将有助于理解跨学科范围的网络基础设施的使用，以指导资助决策和开发工作。