Personal Data Stores (PDS) like SoLiD is an emerging data and knowledge management solution in recent years. They promise to give back ownership and control of data to the user, and provide protocols for developers to build applications using the data. However, existing Solid-based applications often focus on using a single-user's data. In this article, we use a simple but realistic calendar-and-meeting-scheduling scenario to demonstrate the feasibility and design considerations for enabling cooperative data-use across multiple users' SoLiD Pods. This scenario identifies the bottleneck for certain cooperative use cases, namely those involving offline-changing and synchronization of knowledge information. We demonstrate a viable approach to mediate this issue, introducing a long-living thin service, the orchestrator. We describe our implementation and discuss its applicability to other ecosystems. We conclude by discussing the implication of such services, in particular their risks and challenges for building decentralised applications.

翻译：个人数据存储（PDS，如SoLiD）是近年来新兴的数据与知识管理解决方案。其承诺将数据所有权与控制权归还给用户，并为开发者构建基于数据的应用提供协议支持。然而现有的Solid应用多聚焦于单用户数据的利用。本文通过一个简单但真实的日历与会议排程场景，论证了跨多用户SoLiD Pod实现合作性数据使用的可行性及设计考量。该场景揭示了特定合作用例的瓶颈——即涉及离线变更与知识信息同步的场景。我们提出了一种可行的解决方案，引入名为"协调器"的长效轻量服务。本文描述了该服务的实现细节，并探讨其在其他生态系统中的适用性。最后通过讨论此类服务的影响，特别是构建去中心化应用时面临的风险与挑战进行总结。