DS2: DataSpace, DataShare 2.0

DS 2吸引了来自不同学科的研究人员和专家，以确保跨部门数据共享，聚合和来源的复杂生命周期以人为本和可信的方式进行，具有共同的结构，可导出性和洞察力，同时保护数据所有者的主权权利并遵守欧洲数据法规。DS 2提供了一个模块化的软件基础设施，将数据源（数据空间/数据孤岛/数据湖）连接在一起，以实现跨部门数据共享。一旦连接，数据消费者和数据提供者将能够构建和执行高效的复杂数据生命周期，这些生命周期将尊重参与数据源的技术和治理相关要求。它将通过IDT（Intersector DataSpace Toolkit）来实现这一点，IDT部署在每个数据源/空间和连接到任何其他IDT启用的数据源的网络上。IDT Toolkit由一个Broker组成，该Broker管理无控制中心点的故障安全网络操作。插入其中的是一组用于执行复杂数据生命周期的模块，例如过滤，标记，自动化和迎合需要人在循环中的地方。DS 2将使用3个定义明确的跨部门用例（城市景观、绿色交易、精准农业）对其技术进行试点和评估。DS 2解决方案通过解决与执行复杂数据生命周期相关的挑战、痛点和要求，增强并加速了向数据经济的转变。数据消费者和数据提供者现在可以编排、管理和安全地执行复杂的数据生命周期，以实现跨部门的数据驱动应用程序。

DS2 drawsresearchers and practitionersfrom diverse disciplinesto secure that complex lifecycles of inter-sector data sharing, aggregation and provenance take place in a human-centric and trusted way, with common structures, exportability and insight, whilst protecting the sovereign rights of data owners and complying with European data regulations. DS2 provides a modular software infrastructure to connect data sources (Data Spaces/data silos/data lakes) together for the purpose of cross-sector data sharing. Once connected, data consumers and data providers will be able to structure and execute efficient complex data lifecycles that respect the technical and governance related requirements of the participating data sources. It will do this via an IDT (Intersector DataSpace Toolkit) which is deployed at each data source/space and network connected to any other IDT-enabled data source. The IDT Toolkit is composed of a Broker which manages the fail-safe network operation with no central point of control. Plugged into this is a set of modules for the execution of complex data lifecycles, e.g. filtering, labelling, both automated and catering for where human-in-the loop is required. DS2 will pilot and evaluate its technology using 3 well-defined, inter-sector use cases, (City Scape, Green Deal, Precision Agriculture). The DS2 solution enhances and accelerates the shift towards the data economy by addressing the challenges, pain-points, and requirements with respect to the execution of complex data lifecycle. Data consumers and data providers can now orchestrate, manage and securely execute complex data lifecycles to realize cross-sectorial data driven applications.