CAREER: Organizational Capacity and Capacity Building for Cyberinfrastructure Diffusion

先进网络基础设施（CI）背后的愿景是，它的开发、获取和提供将改变21世纪的科学和工程。然而，CI扩散充满了挑战，因为物质对象的采用也需要采用一套相关的行为实践和哲学思想。最关键的是，ci支持的虚拟组织（VOs）通常缺乏全面的组织能力，无法有效地集成和支持复杂的对象、实践和意识形态网络，作为一个整体创新。本项目考察了CI相关对象、实践和意识形态的各种表现形式，以及它们在科学VOs中支持CI实施的方式。使用基于访谈的理论分析和调查数据的因素分析，该项目将开发和验证一个强大的框架/组织能力的CI扩散措施。该项目的经验重点将是nsf资助的极端科学与工程发现环境（XSEDE; https://www.xsede.org/），这是一个全国性的分布式高性能计算资源网络。访谈和调查将征求具有在XSEDE生态系统中采用和使用CI工具经验的领域科学家、计算技术专家和超级计算机中心管理员（跨电子科学项目、机构和学科）的意见。该项目将产生一系列能力建设战略，以帮助vo提高充分采用CI所需的组织能力。研究结果将有助于NSF和其他联邦机构改善现有和未来的CI投资。该项目还可能对利用大数据进行复杂模拟、建模和可视化分析的开源和商业技术产生影响。

The vision behind advanced cyberinfrastructure (CI) is that its development, acquisition, and provision will transform science and engineering in the 21st century. However, CI diffusion is full of challenges, because the adoption of the material objects also requires the adoption of a set of related behavioral practices and philosophical ideologies. Most critically, CI-enabled virtual organizations (VOs) often lack the full range of organizational capacity to effectively integrate and support the complex web of objects, practices, and ideologies as a holistic innovation.This project examines the various manifestations of CI related objects, practices, and ideologies, and the ways they support CI implementation in scientific VOs. Using grounded theory analysis of interviews and factor analysis of survey data, this project will develop and validate a robust framework/measure of organizational capacity for CI diffusion. The project's empirical focus will be the NSF-funded Extreme Science and Engineering Discovery Environment (XSEDE; https://www.xsede.org/), a nationwide network of distributed high-performance computing resources. Interviews and surveys will solicit input from domain scientists, computational technologists, and supercomputer center administrators (across e-science projects, institutions, and disciplines) who have experience with adopting and using CI tools within the XSEDE ecosystem. The project will generate a series of capacity building strategies to help VOs increase the organizational capacity necessary to fully adopt CI. Findings will help NSF and other federal agencies to improve existing and future CI investments. This project may also have implications for open-source and commercial technologies that harness big data for complex simulations, modeling, and visualization analysis.