Open AccessTechnical Breakdown of a Time-Series Data Federation System
Author(s) -
Ashley Sommer,
Matthew P. Stenson,
Ross Searle
Publication year - 2018
Publication title -
epic series in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2516-2330
DOI - 10.29007/vwdh
Subject(s) - computer science , metadata , upload , data access layer , software deployment , data access , service provider , interface (matter) , database , service (business) , world wide web , data science , data modeling , software engineering , operating system , economy , bubble , maximum bubble pressure method , economics
A very large volume of climatic and agricultural data is captured and recorded by on-farm monitoring devices that is uploaded to various different data service providers. It is consistently difficult for land managers to discover, access, understand and use the data due to its disparate nature, limited access to it and multiple proprietary formats used. The Soil Sensing project is developing tools and technologies to help improve the ability to discover, access, understand, and use time-series farm-scale data across disparate data providers. This is achieved by the development and deployment of loosely-coupled web services in the form of a Data Streams Integrator system (DSI), which implements a combined brokered and federated data supply chain pattern. The DSI is composed of the Data Brokering Layer, the Observations and Measurements translation layer, the Sensor Observation Service interface and a metadata registry and repository.