Open Research across Disciplines

How the principles of open research can be applied to your discipline

Mathematics and Statistics

To suggest improvements or additions to this page, please use this form.

Case Studies

UKRN case study: Statistics, probability theory, statistical modelling, and machine learning

Examples of open research practices

Open Methods: Jan Kokko and colleagues have been exploring the likelihood-free inference method, a methodological branch of statistics which is commonly used within simulation-based models in disciplines such as population genetics and astronomy. In their recent work (2019), they introduce an open-access Python adaptation of the Likelihood-Free Inference by Ratio Estimation (LFIRE), abbreviated as PYLFIRE. Based on penalised logistic regression, PYLFIRE can be accessed via the open-source inference software ELFI.

(https://wellcomeopenresearch.org/articles/4-197/v1)

Resources

General Resources

Database and support of open software, open access publishing, and reproducible research in statistics. http://www.foastat.org/
Calin-Jageman, R.J. & Cumming, G. (2019) The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known, The American Statistician, 73:sup1, 271-280. https://doi.org/10.1080/00031305.2018.1518266

Open Methods

Open statistical software.

Open Data

Open dataset with journal articles. https://rss.onlinelibrary.wiley.com/hub/datasets
Database of worldbank open data.https://data.worldbank.org/
Centre for Vision, Speech and Signal Processing, University of Surrey Datasets. https://cvssp.org/

Open Outputs

Preprint repository. https://arxiv.org/
Open Access Journals
- https://www.mdpi.com/journal/mathematics
- https://www.springeropen.com/p/mathematics

This page is adapted and extended from: Farran, E. K., Silverstein, P., Ameen, A. A., Misheva, I., & Gilmore, C. (2020, December 15). Open Research: Examples of good practice, and resources across disciplines. https://doi.org/10.31219/osf.io/3r8hb