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          DMQ3: Data from instruments and sensors to warrant curation

          DMQ3 Report [PDF 83Kb]. 

          Overview

          The DMQ3 Work Package was modified, with board approval, following delays in obtaining live data from the Davies Reef deployment of sensor networks and the loss of our primary research resource from Monash University to Sydney University.

          Despite the challenges presented during the work package, this work package is has produced two clearly important deliverables.

          Firstly, a thorough review of leading edge data quality and associated software algorithms by Pyramid Intelligence systems resulted in the development of pilot software (java). The software was developed to implement quality assurance algorithms and test their efficiency and execution times against synthetic data streams. The models can be easily incorporated into Kelper actors, have been used in the JAINIS workflow environment to provide real-time data integrity.

          Secondly, the creation of a simple digital video annotation tool that enabled the annotation of indigenous history videos via the internet. Videos detailing the history of the Gugu Badhun had been recorded with the help of the JCU School of Indigenous Australian Studies (SIAS) staff. The goal was to transfer the videos to an appropriate storage facility, providing annotations with additional information regarding the context of the videos, and making the videos vailable for display via the Internet. This provided the ideal scenario for a digital history demonstrator.

          This work package has demonstrated that through agile management of the project at JCU, the work package delivered two significant outcomes.

          Ensuring Data Quality from Instruments and Sensors

          The original primary objective of DMQ3 was to ensure data quality of instruments and specifically sensor networks utilising statistical tools. Delays in deploying sensor networks to Davies Reef (DMQ1) resulting from the failure of microwave hardware and associated weather delays (noting that 2006 was the windiest year on record in the Coral Sea), meant that live data was not available for testing. Also the loss of our research resource at Monash University provided additional challenges. For these reasons a set of simulations were created to test the outcomes of this work package.