This scoping project sits across two of the three program areas of the CRC. It aims to assess the scope for developing an integrated building level and cadastrally organised relational database and analysis capacity to link the full range of geo-coded data which will be necessary to operationalize the Living Laboratory concept as well as the broader objectives of the CRC LCL. It also reviews the requirements generated by the need to undertake a range of survey and spatial modelling activities at a range of spatial scales to both support specific research projects as well as to form a significant research tool in its own right.
The analysis of the CRC LCL funded projects and discussions with the program and project leaders makes it clear that a large number of the current funded projects use spatial data, are interested in accessing spatial information and will generate outputs at different spatial scales. Furthermore, in future there will be an increase in the number of such projects as CRC LCL matures and moves from the initial pilot and scoping studies phase to more specific place-based research across Australia.
The key outcome of this scoping study is the specification options presented below for an integrated spatial data facility – the Low Carbon Living Data Hub – that will provide a central resource for all research undertaken under the CRC, stimulate further research that would use and add to the Data Hubs dataset holdings as well as links the empirical outcomes into other major eResearch initiatives currently under development in Australia.
Four possible options considered for the LCL Data Hub are:
Basic Data Hub – provides storage infrastructure and support
AURIN-Enabled Data Hub – adds an analysis capability in the form of integration with the AURIN portal
Extended AURIN-Enabled Data Hub – extends the analysis capability of the LCL Data Hub
Enhanced Spatial Analysis Hub – provides a fully customised, advanced analysis capability for the LCL Data Hub.
The report concludes by recommending Option 3 (Extended AURIN-Enabled Data Hub) – that provides the data storage infrastructure and support, enables analysis via the AURIN portal, adds an automated data feed from the originating sources for datasets, and provides analysis tools and additional functionality more closely aligned with the needs of the LCL research cohort.
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