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A survey on data identification and collection in simulation projects

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@techreport{95d29660684742aa99fe315bc02fcb71,
title = "A survey on data identification and collection in simulation projects",
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 from simulation practitioners 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.",
author = "Stephan Onggo and James Hill and Roger Brooks",
year = "2013",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - A survey on data identification and collection in simulation projects

AU - Onggo, Stephan

AU - Hill, James

AU - Brooks, Roger

PY - 2013

Y1 - 2013

N2 - 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 from simulation practitioners 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.

AB - 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 from simulation practitioners 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.

M3 - Working paper

BT - A survey on data identification and collection in simulation projects

ER -