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A pilot survey on data identification and collection in simulation projects

A pilot survey on data identification and collection in simulation projects
A pilot survey on data identification and collection in simulation projects
The research into the collection of data for use in simulation is lacking. This is rather unfortunate since data quality and availability are two of the most challenging issues in many simulation projects. We have conducted a pilot survey to understand the data collection process in simulation, its issues, solutions and impact on project outcomes. The result reveals interesting insights. Some of them confirm what we believe to be happening in practice. A few of them contradict what we may have assumed to be happening in practice.
Data, Data Identification, Data Collection, Simulation, Project, Practice
77-84
Lancaster University Management School
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Hill, James
061b7c5e-5bdc-496a-b783-fa4e7f831921
Brooks, Roger
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Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Hill, James
061b7c5e-5bdc-496a-b783-fa4e7f831921
Brooks, Roger
3e5e1fc7-27cc-4c87-8be5-634192299f34

Onggo, Stephan, Hill, James and Brooks, Roger (2013) A pilot survey on data identification and collection in simulation projects Lancaster University Management School 8pp.

Record type: Monograph (Working Paper)

Abstract

The research into the collection of data for use in simulation is lacking. This is rather unfortunate since data quality and availability are two of the most challenging issues in many simulation projects. We have conducted a pilot survey to understand the data collection process in simulation, its issues, solutions and impact on project outcomes. The result reveals interesting insights. Some of them confirm what we believe to be happening in practice. A few of them contradict what we may have assumed to be happening in practice.

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More information

Published date: 2013
Keywords: Data, Data Identification, Data Collection, Simulation, Project, Practice

Identifiers

Local EPrints ID: 425170
URI: http://eprints.soton.ac.uk/id/eprint/425170
PURE UUID: f9ceff6f-59a1-405b-8432-ab981c5ef61e
ORCID for Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 11 Oct 2018 16:30
Last modified: 29 Oct 2019 01:22

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Contributors

Author: Stephan Onggo ORCID iD
Author: James Hill
Author: Roger Brooks

University divisions

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