Demonstrating Open Science for Modeling & Simulation Research

被引：4

作者：

Taylor, Simon J. E. ^{[1
]}

Fabiyi, Adedeji ^{[1
]}

Anagnostou, Anastasia ^{[1
]}

Barbera, Roberto ^{[2
]}

Torrisi, Mario ^{[2
]}

Ricceri, Rita ^{[2
]}

Becker, Bruce ^{[3
]}

机构：

[1] Brunel Univ, Modelling & Simulat Grp, Dept Comp Sci, London, England

[2] Univ Catania, Dept Phys & Astron, I-95124 Catania, Italy

[3] CSIR, Cape Town, South Africa

来源：

2016 IEEE/ACM 20TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED SIMULATION AND REAL TIME APPLICATIONS (DS-RT) | 2016年

关键词：

Open Science; Modeling; Simulation; Research; Open Access; Open Data; e-Infrastructure;

D O I：

10.1109/DS-RT.2016.35

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：191 / 192

页数：2

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