标题： LiveData -- 用于分层数据的全球数据网格 显示英文标题

标题： LiveData -- A Worldwide Data Mesh for Stratified Data

摘要： 数据重用对于减少构建支持新应用的数据所需的数据集成工作至关重要，特别是在数据稀缺的环境中。 然而，数据重用需要处理数据异构性，这种异构性在来自不同来源的数据中始终存在。 这种异构性出现在不同的层次上，例如数据使用的语言、它所表示的信息结构，以及数据集采用的数据类型和格式。 尽管通过跨情境重用数据获得了有价值的见解，但处理数据异构性仍然是一个高昂的代价。 此外，由于缺乏支持质量数据和互操作数据的生产与分发的数据分布基础设施，数据重用受到阻碍。 考虑到跨国数据重用时，地理和文化差异更加明显，这些影响数据重用的问题被放大了。 在本文中，我们提出了LiveData，一种处理高质量和多样性感知数据的跨国数据分发网络。 LiveData由具有提供生成和分发新型数据组件的架构的不同节点组成，其中异构性被转化为信息多样性，并被视为一种特征，明确定义并用于满足数据用户的需求。 本文通过定义其架构和节点处理的数据类型，提出了LiveData网络的规范。 该规范目前正在用于实现一个具体的使用案例，以在意大利特伦托大学和蒙古国家大学之间进行数据重用和集成。 显示英文摘要

摘要： Data reuse is fundamental for reducing the data integration effort required to build data supporting new applications, especially in data scarcity contexts. However, data reuse requires to deal with data heterogeneity, which is always present in data coming from different sources. Such heterogeneity appears at different levels, like the language used by the data, the structure of the information it represents, and the data types and formats adopted by the datasets. Despite the valuable insights gained by reusing data across contexts, dealing with data heterogeneity is still a high price to pay. Additionally, data reuse is hampered by the lack of data distribution infrastructures supporting the production and distribution of quality and interoperable data. These issues affecting data reuse are amplified considering cross-country data reuse, where geographical and cultural differences are more pronounced. In this paper, we propose LiveData, a cross-country data distribution network handling high quality and diversity-aware data. LiveData is composed by different nodes having an architecture providing components for the generation and distribution of a new type of data, where heterogeneity is transformed into information diversity and considered as a feature, explicitly defined and used to satisfy the data users purposes. This paper presents the specification of the LiveData network, by defining the architecture and the type of data handled by its nodes. This specification is currently being used to implement a concrete use case for data reuse and integration between the University of Trento (Italy) and the National University of Mongolia.