Abstract
The ICT-CMAC (Intelligent Decision Support and Control Technologies for Continuous Manufacture and Crystallisation) project has built, as part of the overall intelligent decision support platform, a researcher focused laboratory data handling platform. Here we report the approaches taken to capture data directly from instruments, process, store and report this into our ELN (Electronic Laboratory Notebook). This seamless flow of data eliminates errors and greatly reduces the need for manual, routine post-process analysis. Case studies are described to demonstrate the efficiency of this platform and to highlight the advantages of structured data with the potential of future machine learning and intelligent decision support.
Original language | English |
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Number of pages | 6 |
Publication status | Published - 26 Jun 2015 |
Event | ACM International Conference on Multimedia Retrieval (ICMR) - Shanghai, China Duration: 23 Jun 2015 → 26 Jun 2015 http://www.icmr2015.org/ |
Conference
Conference | ACM International Conference on Multimedia Retrieval (ICMR) |
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Abbreviated title | ICMR2015 |
Country/Territory | China |
City | Shanghai |
Period | 23/06/15 → 26/06/15 |
Internet address |
Keywords
- data acquisition
- labratory data handling
- academic research
- electronic laboratory notebook