Providing Open Environmental Data—The Scalable and Web-Friendly Way

Maria C. Borges (), Frank Pallas () and Marco Peise ()
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Maria C. Borges: Information Systems Engineering Group, TU Berlin
Frank Pallas: Information Systems Engineering Group, TU Berlin
Marco Peise: Information Systems Engineering Group, TU Berlin

A chapter in Advances and New Trends in Environmental Informatics, 2018, pp 21-37 from Springer

Abstract: Abstract The emergenceBorges, M.C. Pallas, F. Peise, M. of low-cost environmental sensors has presented an opportunity for environmental data, as a substantial pool of real-time and historical data becomes openly available. This environmental open data provides potential for new opportunities to enhance environmental applications. However consuming this data as it is currently available presents many challenges, including heterogeneous platforms and data schema, archaic data formats and limited scaling potential. We address these issues in our solution OpenSense.network. This paper describes in detail the development of the platform, including data model, system architecture and data collection approach. The presented architecture is able to serve huge amounts of data, through the deliberate employment of a decentralized time-series database in combination with a powerful spatial and relational database. Furthermore, we pay special attention to data consumption in our approach and suggest a web-friendly JSON-based API and a discoverable graphic user interface.

Keywords: Open data; Environmental monitoring; Web APIs; Scalability (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-99654-7_2

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