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SensorDB: A virtual laboratory for the integration, visualization and analysis of varied biological sensor data

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Salehi, Ali
Palmer, Doug
Georgakopoulos, Dimitrios
Jimenez‑Berni, Jose
Deery, David
Holland, Edward
Rozas‑Larraondo, Pablo
Chapman, Scott C.
Furbank, Robert

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BioMed Central

Abstract

To our knowledge, there is no software or database solution that supports large volumes of biological time series sensor data efficiently and enables data visualization and analysis in real time. Existing solutions for managing data typically use unstructured file systems or relational databases. These systems are not designed to provide instantaneous response to user queries. Furthermore, they do not support rapid data analysis and visualization to enable interactive experiments. In large scale experiments, this behaviour slows research discovery, discourages the widespread sharing and reuse of data that could otherwise inform critical decisions in a timely manner and encourage effective collaboration between groups

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Open Access

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