Scene 2 · Data/coding practices and tools
[RRP05] Organise a research project to facilitate reproducibility, openness and reuse.
[RRP06] Contrast the main families of licences for software and data.
We discuss practices and recommendations to get started with reproducibility
We introduce and compare types of licences
[Estimated time: 4 hours]
There are excellent practical guides with general recommendations for promoting reproducibility, research data management and open science. This week we’ll take a look at three guides for open science and reproducible research.
The British Ecological Society publishes brief guidelines for conducting open science. Read the guide Reproducible code (Cooper and Hsing 2019), which explains organizational aspects focused on ecology but applicable to any discipline.
Read Passport for Open Science: A Practical Guide for PhD Students (Berti et al. 2022), it explains how to develop doctoral research in line with the principles of open science. The proposed practices are applicable to any discipline and, although focused on doctoral students, they are aimed at any researcher regardless of their previous experience.
The Turing Way is the third resource or guide which indeed is a compendium of guides on open science, reproducibility, and research ethics. The Guide for Reproducible Research (The Turing Way Community 2019) is relevant, particularly the Licensing section.
“During: Data/coding practices and tools” (slides) summarises some of the organizational aspects and reproducible practices for the preparation and first steps of a project.
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Text and figures are licensed under Creative Commons Attribution CC BY-NC-SA 4.0. Source code is available at https://github.com/cgranell/rrp-uji, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".