Open science: approaches and benefits for modeling &
simulation
Open science: approaches and benefits for modeling &
simulation
Open Science is the practice of making scientific research accessible to all. It promotes open access to the artefacts of research, the software, data, results and the scientific articles in which they appear, so that others can validate, use and collaborate. Open Science is also being mandated by many funding bodies. The concept of Open Science is new to many Modelling & Simulation (M&S) researchers. To introduce Open Science to our field, this paper unpacks Open Science to understand some of its approaches and
benefits. Good practice in the reporting of simulation studies is discussed and the Strengthening the Reporting of Empirical Simulation Studies (STRESS) standardized checklist approach is presented. A case study shows how Digital Object Identifiers, Researcher Registries, Open Access Data Repositories and Scientific Gateways can support Open Science practices for M&S research. The article concludes with a set of guidelines for adopting Open Science for M&S.
535-549
Taylor, Simon J.E.
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Anagnostou, Anastasia
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Fabiyi, Adedeji
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Currie, Christine
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Monks, Thomas
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Barbera, Roberto
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Becker, Bruce
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4 December 2017
Taylor, Simon J.E.
c021bfb3-41b8-4da5-8fd2-1d10404234dd
Anagnostou, Anastasia
7de4ca98-075a-451f-a96c-eb1bbede9796
Fabiyi, Adedeji
cb328d8e-e4c1-4ca2-9f73-6b1aa96edfc2
Currie, Christine
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Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Barbera, Roberto
ef129aca-6aa0-4143-ba64-f8add3e6a663
Becker, Bruce
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Taylor, Simon J.E., Anagnostou, Anastasia, Fabiyi, Adedeji, Currie, Christine, Monks, Thomas, Barbera, Roberto and Becker, Bruce
(2017)
Open science: approaches and benefits for modeling &
simulation.
Chan, W.K.V., D'Ambrogio, A., Zacharewicz, G., Mustafee, N., Wainer, G. and Page, E.
(eds.)
In Proceedings of the 2017 Winter Simulation Conference.
IEEE.
.
(doi:10.1109/WSC.2017.8247813).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Open Science is the practice of making scientific research accessible to all. It promotes open access to the artefacts of research, the software, data, results and the scientific articles in which they appear, so that others can validate, use and collaborate. Open Science is also being mandated by many funding bodies. The concept of Open Science is new to many Modelling & Simulation (M&S) researchers. To introduce Open Science to our field, this paper unpacks Open Science to understand some of its approaches and
benefits. Good practice in the reporting of simulation studies is discussed and the Strengthening the Reporting of Empirical Simulation Studies (STRESS) standardized checklist approach is presented. A case study shows how Digital Object Identifiers, Researcher Registries, Open Access Data Repositories and Scientific Gateways can support Open Science practices for M&S research. The article concludes with a set of guidelines for adopting Open Science for M&S.
Text
Taylor et al WSC 2017 Open Science Post Stage 3 Corrections
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Published date: 4 December 2017
Identifiers
Local EPrints ID: 416461
URI: http://eprints.soton.ac.uk/id/eprint/416461
PURE UUID: c74a8be1-40a3-415a-9036-6780985126b1
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Date deposited: 19 Dec 2017 17:30
Last modified: 16 Mar 2024 03:30
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Contributors
Author:
Simon J.E. Taylor
Author:
Anastasia Anagnostou
Author:
Adedeji Fabiyi
Author:
Thomas Monks
Author:
Roberto Barbera
Author:
Bruce Becker
Editor:
W.K.V. Chan
Editor:
A. D'Ambrogio
Editor:
G. Zacharewicz
Editor:
N. Mustafee
Editor:
G. Wainer
Editor:
E. Page
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