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Title: Demonstrating open science for modeling & simulation research
Authors: Taylor, SJE
Fabiyi, A
Anagnostou, A
Barbera, R
Torrisi, M
Ricceri, R
Becker, B
Keywords: Open Science;Modeling;Simulation;Research;Open Access;Open Data;e-Infrastructure
Issue Date: 2016
Publisher: IEEE
Citation: 20th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 21-23 September 2016, London, UK, pp. 191 - 192, (2016)
Abstract: Most conference and journal publications present contributions based on research artefacts (data, results, software, etc.) that are difficult for researchers to access. Open science aims to promote open access to research presented in academic works. Ideally, the software, data and results presented in a scientific article should be available for other scientists to use, validate and build upon for their own research. This is particularly true in some Modeling & Simulation (M&S) research where in addition to the above access might also be required to complex models. Using a case study based on an Infection Model, this demonstration shows how Open Science approaches based on Digital Object Identifiers, Researcher Registries, Open Access Data Repositories, Scientific Gateways and e-Infrastructures project can support M&S research.
ISSN: 1550-6525
Appears in Collections:Dept of Computer Science Research Papers

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