Developing a data acquisition, analysis and reporting system for an academic research centre

Research output: Contribution to conferencePaper

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.

Conference

ConferenceACM International Conference on Multimedia Retrieval (ICMR)
Abbreviated titleICMR2015
CountryChina
CityShanghai
Period23/06/1526/06/15
Internet address

Fingerprint

Research Design
Crystallization
Research
Research Personnel
Technology
Machine Learning

Keywords

  • data acquisition
  • labratory data handling
  • academic research
  • electronic laboratory notebook

Cite this

Robertson, M., McGlone, T., Johnston, A., Florence, A., Johnston, B., Dziewierz, J., ... Sefcik, J. (2015). Developing a data acquisition, analysis and reporting system for an academic research centre. Paper presented at ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China.
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title = "Developing a data acquisition, analysis and reporting system for an academic research centre",
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.",
keywords = "data acquisition, labratory data handling, academic research, electronic laboratory notebook",
author = "Murray Robertson and Thomas McGlone and Andrea Johnston and Alastair Florence and Blair Johnston and Jerzy Dziewierz and Christos Tachtatzis and Alison Cleary and Anthony Gachagan and Ivan Andonovic and Jan Sefcik",
year = "2015",
month = "6",
day = "26",
language = "English",
note = "ACM International Conference on Multimedia Retrieval (ICMR), ICMR2015 ; Conference date: 23-06-2015 Through 26-06-2015",
url = "http://www.icmr2015.org/",

}

Robertson, M, McGlone, T, Johnston, A, Florence, A, Johnston, B, Dziewierz, J, Tachtatzis, C, Cleary, A, Gachagan, A, Andonovic, I & Sefcik, J 2015, 'Developing a data acquisition, analysis and reporting system for an academic research centre' Paper presented at ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China, 23/06/15 - 26/06/15, .

Developing a data acquisition, analysis and reporting system for an academic research centre. / Robertson, Murray; McGlone, Thomas; Johnston, Andrea; Florence, Alastair; Johnston, Blair; Dziewierz, Jerzy; Tachtatzis, Christos; Cleary, Alison; Gachagan, Anthony; Andonovic, Ivan; Sefcik, Jan.

2015. Paper presented at ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Developing a data acquisition, analysis and reporting system for an academic research centre

AU - Robertson, Murray

AU - McGlone, Thomas

AU - Johnston, Andrea

AU - Florence, Alastair

AU - Johnston, Blair

AU - Dziewierz, Jerzy

AU - Tachtatzis, Christos

AU - Cleary, Alison

AU - Gachagan, Anthony

AU - Andonovic, Ivan

AU - Sefcik, Jan

PY - 2015/6/26

Y1 - 2015/6/26

N2 - 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.

AB - 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.

KW - data acquisition

KW - labratory data handling

KW - academic research

KW - electronic laboratory notebook

UR - http://www.icmr2015.org/

M3 - Paper

ER -

Robertson M, McGlone T, Johnston A, Florence A, Johnston B, Dziewierz J et al. Developing a data acquisition, analysis and reporting system for an academic research centre. 2015. Paper presented at ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China.