Geodateninfrastrukturen

Bernard, Lars; Brauner, Johannes; Mäs, Stephan; Wiemann, Stefan

doi:10.1007/978-3-662-46900-2_66-1

Cited by 2 publications

(1 citation statement)

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“…Practical applications of the FAIR principles have been developed within individual domains of research, focusing on domain-specific requirements. Typical FAIR applications in the geo-data domain (see [27,28] for an overview) are related to geodata infrastructures (GDI, see [29]): encoding of geo-data into interoperable formats and re-using existing data transformation modules (Web Services) in a decentralized way, allowing geographical data from different sources to be integrated in a common spatial reference frame, using typical geo-information (GIS) operations that are widely applicable to different types of spatial data. These web services can cover data transformation, data integration, or data analysis tasks of varying complexity as well as visualizations of geographic data.…”

Section: Related Workmentioning

confidence: 99%

Spatio-Temporal Research Data Infrastructure in the Context of Autonomous Driving

Fischer

Sester

Schön

2020

IJGI

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In this paper, we present an implementation of a research data management system that features structured data storage for spatio-temporal experimental data (environmental perception and navigation in the framework of autonomous driving), including metadata management and interfaces for visualization and parallel processing. The demands of the research environment, the design of the system, the organization of the data storage, and computational hardware as well as structures and processes related to data collection, preparation, annotation, and storage are described in detail. We provide examples for the handling of datasets, explaining the required data preparation steps for data storage as well as benefits when using the data in the context of scientific tasks.

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Section: Related Workmentioning

confidence: 99%