GitHub and Google Colab for Sharing Data and Code

A traditional print journal is not ideal for the dissemination of computer code and related data. Without the actual code and data, reproducibility cannot be assessed, and there can be no validation of the premise of such an article. Fortunately, there are inexpensive modern ways to share both data and code while providing for explanatory text: GitHub and Google Colaboratory. This article introduces both and provides 3 different examples for the reader to experience.

Authors

Publication Details

Journal
Journal of Insurance Medicine
Published
2026-06-16
DOI
https://doi.org/10.17849/insm-53-2-1-4.1a
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
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article

GitHub and Google Colab for Sharing Data and Code

David Wesley
Journal of Insurance Medicine
Mathematics, Computing, and Information Processing
article

GitHub and Google Colab for Sharing Data and Code

David Wesley
article en

Abstract

A traditional print journal is not ideal for the dissemination of computer code and related data. Without the actual code and data, reproducibility cannot be assessed, and there can be no validation of the premise of such an article. Fortunately, there are inexpensive modern ways to share both data and code while providing for explanatory text: GitHub and Google Colaboratory. This article introduces both and provides 3 different examples for the reader to experience.

Journal of Insurance MedicineVol. 53(2)
Openalex Percentile: Top 5%
Mathematics, Computing, and Information Processing
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