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@HowToOpenScience

How To Open Science

How to Open Science

OSF

'How to Open Science'1 is an alias used to easily identify research related to the advancement of open science, reproducibility, and replicability in disciplines. The goal of this group is to gather and inform others on research conducted on open science, promote practices and more robust metrics for reproducibility and replicability, and to analyze the current state of disciplines in adoption of these practices.

Currently, this group is focused on these goals in the following disciplines and conferences:

Organizers

License

The content of this Open Science Framework project and all subprojects is under the Creative Commons Attribution 4.0 International License unless otherwise specified.

Attributions

Citation

@misc{Haim_Shaw_Heffernan_2022,
  title={How to Open Science},
  url={osf.io/ye54u},
  DOI={10.17605/OSF.IO/YE54U},
  publisher={OSF},
  author={Haim, Aaron and Shaw, Stacy T and Heffernan, Neil T, III},
  year={2022},
  month={Nov}
}

Footnotes

  1. 'How to Open Science' is not a copyrighted or trademarked phrase. Feel free to use it.

Popular repositories Loading

  1. lak2023-tutorial lak2023-tutorial Public

    A website for 'How to Open Science: Promoting Principles and Reproducibility Practices within the Learning Analytics Community' submitted to LAK 2023

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  2. .github .github Public

    The main profile and website for 'How To Open Science'

    Dockerfile

  3. aied2023-tutorial aied2023-tutorial Public

    A website for 'How to Open Science: Promoting Principles and Reproducibility Practices within the Artificial Intelligence in Education Community' submitted to AIED 2023

    JavaScript

  4. lats2023-tutorial lats2023-tutorial Public

    A website for 'How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community' submitted to L@S 2023

    JavaScript

  5. edm2023-tutorial edm2023-tutorial Public

    A website for 'How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community' submitted to EDM 2023

    JavaScript

  6. lak2024-tutorial lak2024-tutorial Public

    A website for 'Promoting Open Science in Learning Analytics: An Interactive Tutorial on Licensing, Data, and Containers' submitted to LAK 2024

    JavaScript

Repositories

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