智慧养老在我国“叫好不叫座”，服务成效差，其中智慧养老数据资源缺少科学分类体系和共享程度低是影响智慧养老服务成效的主要问题之一。文章主要论述了智慧养老服务场景中数据资源的来源、构成、特征与分类问题。研究发现，智慧养老是指一定时期内持续发生的一组不同场景的活动。智慧养老的每个场景，每类活动，都产生一组不同类型的数据。因而，文章在对智慧养老场景及其数据资源的来源、构成和特征分析的基础上，利用图书馆学的分面分类思想和场景的相关理论，研究发现多元场景多维度的智慧养老数据资源分类体系能够有利于智慧养老服务场景中数据资源的管理和利用。

Application of intelligent elderly care service in China is still under the trials. Its service effect is poor. Among them, the lack of scientific classification system and public access to smart data resources are one of the main problems affecting the effectiveness of intelligent elderly care services. This paper mainly discusses the originality, composition, characteristics, and classification of data resources in intelligent elderly care service scenarios. This paper states that intelligent care for elderly is a set of activities that continue to occur in a certain period in different scenes. Each type of activity in independent scene of elderly care produces a set of different types of data. This study puts forward the idea of constructing a multi-scene and multi-dimensional intelligent elderly care data resource classification system, based upon use of the faceted classification idea of library science and relevant theories of data management to analyze the source, composition and characteristics of the intelligent elderly care scenario and its data resources, and summarizes the common characteristics of data resources in different scenarios of intelligent elderly care. The study found that the multi-scenario and multi-dimensional intelligent elderly care data resource classification system can facilitate the management and utilization of data resources in intelligent elderly care service scenarios.