
Towards Sharing Tools and Artifacts for Reusable Simulation: example enhanced documentation for a simpy model. The materials and methods in this repository support work towards developing the S.T.A.R.S healthcare framework (Sharing Tools and Artifacts for Reusable Simulations in healthcare). The code and written materials here demonstrate the application of S.T.A.R.S' version 1 to sharing a simpy discrete-event simuilation model and associated research artifacts. All artifacts in this repository are linked to study researchers via ORCIDs; Model code is made available under a MIT license; Python dependencies are managed through conda;` The python code itself can be viewed and executed in Jupyter notebooks via Binder; The model is documented and explained in a Jupyter book website served up by GitHub pages; The materials are deposited and made citatable using Zenodo; The models are sharable with other researchers and the NHS without the need to install software. Changes: PATCH: Pathway sampling now correctly uses self.args to select distributions.
If you use this software, please cite it using the metadata from this file.
Open Science, Model reuse, Discrete-event simulation, Documentation, Reproducibility
Open Science, Model reuse, Discrete-event simulation, Documentation, Reproducibility
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
