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SensorDB: a virtual laboratory for the integration, visualization and analysis of
varied biological sensor data
#MMPMID26649067
Salehi A
; Jimenez-Berni J
; Deery DM
; Palmer D
; Holland E
; Rozas-Larraondo P
; Chapman SC
; Georgakopoulos D
; Furbank RT
Plant Methods
2015[]; 11
(?): 53
PMID26649067
show ga
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.
free
free
free
