SGER: Toward a Science of Design for Small, Highly Dynamic Digital Information Collections

这个探索性研究（SGER）项目的小额赠款为信息管理研究的一个新的和关键的领域打开了一个设计科学：小型，高度动态的数字信息收集（SDIC），如支持关键事件管理的不断发展的文档库;为新兴的本地化科学社区改变研究文章收藏;快速开发项目网站; SDIC是最广泛使用的信息收集类型之一，但目前很少有理论的循环重新设计的类型，这些本地化的信息库是必不可少的。有趣的是，SDIC的本地化主题焦点和高度动态的性质使它们成为新设计理论的优秀候选人：首先，它们的设计依赖于高度本地化和特殊的需求，资源和约束，这些实例尚未被推广到科学设计原则中。其次，他们的设计是连续的和重复的，因为信息内容，解释，要求和参与者进入和离开设计空间。这个项目开发了SDIC设计空间的广义维度。接下来，它生成了一个模型的使用驱动器的SDIC和他们的基本动态属性。第三，它将提供原型软件，演示设计空间和用户驱动程序如何耦合到SDIC软件的动态配置中。这项工作将在研究界产生迅速的影响，提供初步的设计理论和示例平台，产生进一步的实验。最后，它将有助于激发研究界对高度动态、内容集中的信息系统科学、其核心研究问题以及设计它们的有效方法的兴趣。

This Small Grants for Exploratory Research (SGER) project opens a science of design for a new and critical field of information management research: small, highly dynamic digital information collections (SDICs) such as evolving documentation repositories supporting critical incident management; changing research article collections for emerging localized science communities; rapidly developing project websites; etc. SDICs are are among the most widely used types of information collections, yet there is currently little theory of the type of cyclic redesign essential for these localized information repositories. Interestingly, the localized subject focus and the highly dynamic nature of SDICs makes them excellent candidates for new theories of design: First, their design depends on highly local and idiosyncratic requirements, resources, and constraints, instances of which have not yet been generalized in to scientific design principles. Second, their design is continuous and repeated, as information content, interpretations, requirements, and participants enter and leave the design space. This project develops generalized dimensions of the design space for SDICs. Next, it generates a model of the use-drivers for SDICs and their essential dynamic properties. Third, it will provide prototype software that demonstrates the how the design space and use-drivers can be coupled into dynamic configurations of SDIC software. This work will generate rapid impact in the research community, providing both preliminary design theory and example platforms that generate further experimentation. Finally, it will help to galvanize research-community interest in the science of highly dynamic, focused-content information systems, their core research issues, and effective approaches for designing them.