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

Find It(opens in a new window)| Export | Download | Add to List | More... Plant Methods December 08, 2015 Open Access SensorDB: A virtual laboratory for the integration, visualization and analysis of varied biological sensor data ( Articles not published yet, but available online Article in press About articles in press (opens in a new window) ) Salehi, A.b , Jimenez-Berni, J.a , Deery, D.M.a , Palmer, D.b , Holland, E.c , Rozas-Larraondo, P.a , Chapman, S.C.c , Georgakopoulos, D.bd , Furbank, R.T.ae a CSIRO Agriculture, Clunies Ross St, Canberra, 2601 b CSIRO Data61, Clunies Ross St, Canberra, 2601 c CSIRO Agriculture, 306 Carmody Road, Brisbane, 4067 View additional affiliations Abstract Background: 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. Results: In this paper we present SensorDB, a web based virtual laboratory that can manage large volumes of biological time series sensor data while supporting rapid data queries and real-time user interaction. SensorDB is sensor agnostic and uses web-based, state-of-the-art cloud and storage technologies to efficiently gather, analyse and visualize data. Conclusions: Collaboration and data sharing between different agencies and groups is thereby facilitated. SensorDB is available online at http://sensordb.csiro.au.