Information systems, like biological systems, are susceptible to external perturbations. Similar to flora and fauna in a biome, species of data can be classified within a dataphora. While entropic properties and data geometries can be used to describe local species of data within a dataphora, they are not designed to describe the global properties of an information system or evaluate its stability. Ecologists have used Information Theories to describe macro-level properties of biological ecosystems and statistical tools to evaluate biological systems. This research leverages an ecological perspective to model information systems as a living system. Our findings support the theory of dataphoric ascendancy with Wikipedia having a Diversity Index value of 0.68, within the range of 0.65 and 0.80 that indicates a balanced state. We further support our findings with additional evaluations of other ecosystems including the predicted collapse of the information service known as the Digital Universe. This research allows for an information system’s stability to be (a) characterized and (b) predicted using ecological measures specific to the diversity of data within the ecosystem.

信息系统，如生物系统，容易受到外界干扰。类似于生物群系中的动植物，可以将数据种类归类为数据群。虽然熵属性和数据几何形状可用于描述数据组中的本地数据种类，但它们并非旨在描述信息系统的全局属性或评估其稳定性。生态学家使用信息论来描述生物生态系统的宏观特性，并使用统计工具来评估生物系统。这项研究利用生态学的观点将信息系统建模为生命系统。我们的发现支持数据隐喻上升的理论，维基百科的分集指数值为0.68，在0.65到0.80的范围内，表明处于平衡状态。我们通过对其他生态系统的其他评估来进一步支持我们的发现，其中包括对称为数字宇宙的信息服务的预计崩溃。这项研究允许使用特定于生态系统内数据多样性的生态措施来（a）表征和（b）预测信息系统的稳定性。