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

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DataCite Commons2021-07-21 更新2024-07-28 收录
下载链接:
https://esip.figshare.com/articles/dataset/Linked-data_And_Networked_DRoneS_Tooling_for_FAIR_drone_data/15031899
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资源简介:
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.<br>
提供机构:
ESIP
创建时间:
2021-07-21
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