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

探索性研究小额拨款（SGER）项目为信息管理研究的一个新的关键领域开辟了一门设计科学：小型、高度动态的数字信息集合（sdic），如支持关键事件管理的不断发展的文档存储库；为新兴的本地化科学社区提供不断变化的研究文章收藏；快速发展的项目网站；等。sdic是使用最广泛的信息集合类型之一，但是目前很少有关于这些本地化信息存储库所必需的循环重新设计类型的理论。有趣的是，sdic的局部主题焦点和高度动态特性使它们成为新设计理论的优秀候选者：首先，它们的设计依赖于高度局部和特殊的需求、资源和约束，这些实例尚未被概括为科学的设计原则。其次，他们的设计是连续和重复的，因为信息内容，解释，需求和参与者进入和离开设计空间。本项目开发了sdic设计空间的广义维度。接下来，生成sdic的使用驱动程序模型及其基本动态属性。第三，它将提供原型软件，演示如何将设计空间和使用驱动程序耦合到国投软件的动态配置中。这项工作将在研究界产生迅速的影响，为进一步的实验提供初步的设计理论和示例平台。最后，它将有助于激发研究界对高度动态、集中内容的信息系统、其核心研究问题以及设计这些系统的有效方法的兴趣。

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.