This project aims to identify data usage, look into the establishment of data management techniques and provide guidance for staff as to efficient storage measures. The project provides recommendations for a robust policy framework to offer engineering departments guidance on the principles behind information management. There is to be the identification of potential categorises and associated retention times. Categorisation will assist in giving data a retention time and increase the efficiency of accessing data.
The main drivers for this project include $5million spent over three years on the storage of electronic information and the difficulties associated with finding information in high volume storage systems. These issues are increasing exponentially as Beca grows and as the size and quantity of CAD, photos and videos files increases.
| Identifer | oai:union.ndltd.org:canterbury.ac.nz/oai:ir.canterbury.ac.nz:10092/8938 |
| Date | January 2014 |
| Creators | Smith, Matthew Bede |
| Publisher | University of Canterbury. Engineering Management |
| Source Sets | University of Canterbury |
| Language | English |
| Detected Language | English |
| Type | Electronic thesis or dissertation, Text, Engineering Management |
| Rights | Copyright Matthew Bede Smith, http://library.canterbury.ac.nz/thesis/etheses_copyright.shtml |
| Relation | NZCU |
Page generated in 0.0015 seconds