OpenScience : Différence entre versions
m (→Open Access) |
m (→Reproducibility) |
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| Ligne 22 : | Ligne 22 : | ||
* Courses | * Courses | ||
** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/ | ** Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/ | ||
| + | ** Compute Ontario Summer School TODO | ||
* Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master | * Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master | ||
* Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon | * Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon | ||
Version du 21 octobre 2025 à 09:51
Open science encompasses open data, open source code and open access publication.
- Definitions of reproducibility, replicability, etc.
- National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press.
Open Access
Open access: https://guides.biblio.polymtl.ca/diffusion_recherche with a link to send files for open access submission on institutional repository
Research Data Management
Poly libguide https://guides.biblio.polymtl.ca/donneesrecherche
Public datasets should be put on Borealis https://borealisdata.ca
Politique de gestion des données de recherche https://www.polymtl.ca/renseignements-generaux/documents-officiels/6-recherche-et-innovation (https://share.polymtl.ca/alfresco/service/api/node/content/workspace/SpacesStore/436d0b4a-0f4c-4cda-afd3-421337a239a4?a=false&guest=true)
Reproducibility
- The Turing Way https://the-turing-way.netlify.app
- Findable, Accessible, Interoperable, Reusable (FAIR) research
- WorldFAIR Final Policy Brief: Enabling Global FAIR Data - Recommendations for Research Infrastructures https://zenodo.org/records/14236140
- 10 Things for Curating Reproducible and FAIR Research https://zenodo.org/records/6797657
- Courses
- Tools for Reproducible Research, Karl Broman, https://kbroman.org/Tools4RR/
- Compute Ontario Summer School TODO
- Tips for Publishing Research Code https://github.com/paperswithcode/releasing-research-code/tree/master
- Reproducible research best practices @JupyterCon https://www.kaggle.com/code/rtatman/reproducible-research-best-practices-jupytercon
- Curating Data Sets for Reproducibility https://research-reuse.github.io
- Journal club initiative https://reproducibilitea.org
Replicating
Reproducibility is not sufficient, replicating is also important.
- https://rescience.github.io/
- Replication Games https://i4replication.org/blog%20Games.html
- Institute For Replication https://i4replication.org
Misc
From my webpage written in 2009: "I am a supporter of open science for many reasons, both from a philosophical and moral point of view, and from a practical point of view. From a philosophical and moral point of view, it is the right thing to do, especially for publicly funded research institutions and it allows reproducible research: why should you trust my claims if you cannot replicate my work? From a practical point of view, it is a better method (open source software is a better software development technique) and my research benefits from collaboration and sharing code and data with you, as you reference my research and release publicly your improvements in turn). Join the movement!" https://nicolas.saunier.confins.net/