Open Research across DisciplinesHow the principles of open research can be applied to your discipline
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.
- 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 statistical software.
- 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/
- Preprint repository. https://arxiv.org/
- Open Access Journals
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