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Contents

  • 1 Open Research across Disciplines
  • 2 Mathematics and Statistics
    • 2.1 Case Studies
    • 2.2 Examples of open research practices
  • 3 Resources
      • 3.0.1 General Resources
      • 3.0.2 Open Methods
      • 3.0.3 Open Data
      • 3.0.4 Open Outputs

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.
    • https://jasp-stats.org/
    • https://www.jamovi.org/
    • https://www.r-project.org/

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

About UKRN

UKRN is a peer-led consortium that aims to ensure the UK retains its place as a centre for world-leading research. It is led by Marcus Munafò (Bristol), Chris Chambers (Cardiff), Alexandra Collins (Imperial), Laura Fortunato (Oxford), Etienne Roesch (Reading), and Malcolm Macleod (Edinburgh).

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