Paper Info
Title
Open science: approaches and benefits for modeling & simulation
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.
Year
DOI
Venue
2017
10.5555/3242181.3242220
WSC '17: Winter Simulation Conference Las Vegas Nevada December, 2017
Keywords
Field
DocType
Open Access Data Repositories,Open Science practices,scientific research,modelling-&-simulation,STRESS standardized checklist approach,digital object identifiers,researcher registries,scientific gateways,M&S,Strengthening the Reporting of Empirical Simulation Studies standardized checklist approach
Data science,Checklist,Systems engineering,Identifier,Computer science,Modeling and simulation,Digital object,Software,Open science,Cognitive neuroscience of visual object recognition,Scientific method
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-5386-3427-1
1
PageRank 
References 
Authors
0.48
6
7
Name
Order
Citations
PageRank
S. J.E. Taylor155167.71
Anastasia Anagnostou26812.07
Adedeji O. Fabiyi310.48
Christine S. M. Currie47216.31
Thomas Monks5316.41
R. Barbera612415.53
Bruce Becker731.58