Collaborative Research: Conceptualizing an Institute for Empowering Long Tail Research

大多数 NSF 资助的研究发生在中小型实验室 (SML)，这些实验室通常由一名 PI 和一些学生和博士后组成。对于这些小团队来说，网络基础设施及其在发现和创新中的应用日益重要，这既是机遇也是问题。由于资源和专业知识有限，即使是简单的数据发现、收集、分析、管理和共享任务也很困难。一个不幸的后果是，在科学的“长尾”中，现代计算方法往往没有被利用，许多有价值的数据没有被共享，并且日常任务消耗了太多时间。迄今为止，科学网络基础设施的研究投资过分强调大型科学项目，提供供 IT 人员和精通技术的研究人员使用的工具，而不是最终用户可使用的完整应用程序。该项目的目标是通过专门关注 SML 的需求，为更加平衡的研究议程奠定基础。该软件学院概念化项目旨在确定是否可以通过使用软件即服务 (SaaS) 方法来克服这些发现和创新的障碍。事实证明，此类方法对于中小型企业非常有效，因为它们能够提供先进的功能，同时简化用户体验并实现规模经济。为了确定类似的好处是否适用于 SML，项目团队将与多个科学界合作，以确定科学实践，将科学实践与候选 SaaS 产品进行匹配，并评估可以实现这些产品可持续发展的商业模式。这一过程的结果旨在成为 NSF 软件创新和可持续发展研究所的一项引人注目且具有竞争力的战略计划，该计划既满足最初科学界的迫切需求，又为解决所有 NSF 理事会的网络基础设施需求的新的、更具成本效益的方法奠定了基础。

The majority of NSF-funded research occurs in small and medium-sized laboratories (SMLs) that often comprise a single PI and a few students and postdocs. For these small teams, the growing importance of cyberinfrastructure and its applications in discovery and innovation is as much problem as opportunity. With limited resources and expertise, even simple data discovery, collection, analysis, management, and sharing tasks are difficult. An unfortunate consequence is that in this "long tail" of science, modern computational methods often are not exploited, much valuable data goes unshared, and too much time is consumed by routine tasks. To date, research investments in science cyberinfrastructure have disproportionately emphasized big science projects, providing tools for use by IT staff and technology savvy researchers rather than complete applications consumable by end users. This project's goal is to lay a foundation for a more balanced research agenda by focusing exclusively on the needs of SMLs.This Software Institute Conceptualization project aims to determine whether these obstacles to discovery and innovation can be overcome via the use of software as a service (SaaS) methods. Such methods have proven immensely effective for small and medium businesses due to their ability to deliver advanced capabilities while streamlining the user experience and achieving economies of scale. To determine whether similar benefits can apply for SMLs, the project team will engage with multiple science communities to identify science practices, match science practices against candidate SaaS offerings, and evaluate business models that could permit sustainable development of those offerings. The outcome of this process is intended to be a compelling and competitive strategic plan for an NSF Software Innovation and Sustainability Institute that both meets immediate needs of the initial science communities and provides a basis for a new, more cost-effective method of addressing cyberinfrastructure needs across all NSF directorates.