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Demonstrating Open Science for Modeling & Simulation Research by Simon J. E. Taylor; Adedeji Fabiyi; Anastasia Anagnostou; Roberto Barbera; Mario Torrisi; Rita Ricceri; Bruce Becker is a scholarly article available to read on EtoBox.

What is Demonstrating Open Science for Modeling & Simulation Research about?

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.

Author

Simon J. E. Taylor; Adedeji Fabiyi; Anastasia Anagnostou; Roberto Barbera; Mario Torrisi; Rita Ricceri; Bruce Becker

Published

2016

Language

EN