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 m...

Full description

Saved in:
Bibliographic Details
Main Authors: Taylor, Simon J. E., Anagnostou, Anastasia, Fabiyi, Adedeji, Currie, Christine, Monks, Thomas, Barbera, Roberto, Becker, Bruce
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Gold
Licenses
Logic gates
Object recognition
Open Access
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1558-4305
DOI:10.1109/WSC.2017.8247813