Linked-data And Networked DRoneS: Tooling for FAIR drone data

Linked-data And Networked DRoneS [LANDRS] is a project working to build core open source tooling to enable scientific data captured using drones to be easily and practically made Findable Accessible Interoperable and Reusable [FAIR]. The work has been driven and directed by extensive community input and is leveraging the rapidly maturing set of semantic web and open application programming interface software tool stacks. While COVID has limited community involvement remote input is very welcome. Primarily core components created and under development to-date include: (i) an aligned an ontology ready LANDRS vocabulary for the annotation of required metadata regard the drone, flights, project, sensors, and environmental conditions, (ii) an onboard drone data annotation application and API, (iii) a ground based data archive and publication services similarly accessible and searchable via an API. This poster was presented at the 2021 Earth Science Information Partners (ESIP) Summer Meeting held virtually in July 2021.关联数据与网络化无人机（Linked-data And Networked DRoneS，简称LANDRS）项目旨在打造核心开源工具集，使无人机采集的科学数据能够便捷且切实地达成可发现、可访问、可互操作、可复用（Findable Accessible Interoperable and Reusable，简称FAIR）的目标。本项目依托广泛的社区反馈开展设计与推进工作，并采用了快速成熟的语义网（Semantic Web）与开源应用程序编程接口（Application Programming Interface，简称API）软件工具栈。尽管新冠疫情限制了现场社区参与，但我们仍热烈欢迎远程反馈与参与。截至目前，已开发并处于迭代完善中的核心组件主要包括：(i) 适配并支持本体（Ontology）的标准化LANDRS词汇表，用于标注无人机、飞行任务、项目、传感器及环境条件等相关的必要元数据（Metadata）；(ii) 机载无人机数据标注应用程序及API；(iii) 地面端数据存档与发布服务，同样可通过API实现访问与检索。本展板于2021年7月线上举办的2021年地球科学信息合作伙伴（Earth Science Information Partners，简称ESIP）夏季年会中展示。