Data processing
Alternative labels
Data centres
Technical report
Progressing precinct modelling on the UNSW campus and beyond: BIM/PIM and 3DGIS system architecture and visualisation
This report presents a way of structuring and visualising geospatial data and their corresponding semantics and metadata in a Precinct Information Model (PIM). The datasets obtained from UNSW Estate Management (EM) are used in this development. The study is completed through several steps involving pre-processing and storage of data, along with web-based visualisation.
Technical report
Progressing precinct modelling on the UNSW campus and beyond: BIM/PIM and 3DGIS - data inventory
This report presents results of inventory of the administrative structure of UNSW Estate Management (EM), software used, datasets and their content. The study was completed via interviews with employees of EM, and by examination of several datasets provided by Facility Management (FM) department. The finding can be summarised and considered for PIM as follows:
Report
Untapped potential: investing in health and care data analytics
Action and investment is needed across the system so the NHS has the right people with the right tools to interpret and create value from its data. This report highlights nine key reasons why there should be more investment in analytical capability.
Report
Greening suburban travel: smartcard data analysis
As public transport agencies increasingly adopt the use of automatic data collection systems, a significant amount of boarding data becomes available, providing an excellent opportunity for transit planners to access spatial-temporal data which can be used for a better understanding of human mobility and the performance of a transit system. Smartcard data can be used...
Report
What to keep: a Jisc research data study
The volume and diversity of research data is rapidly growing, posing questions and challenges concerning data retention. This report presents insights for institutions, research funders, researchers and others on what research data to keep and why.