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Short abstract:

This proposition is a reflexive feedback on the integration of reproducibility in a mixed methods study called “Adapting Open Science”. It combines quantitative rigor, with data and code sharing, and qualitative depth using grounded theory analysis and explanation within “reasoning traceability”.

Long abstract:

This contribution to the field of Science and Technology Studies (STS) draws from the “Adapting Open Science” study, conducted by a multidisciplinary team in France, emphasizing a mixed-methods approach that marries quantitative reproducibility with “reasoning traceability” for qualitative depth. The quantitative phase involves an external verification of the results of a survey based on the meticulous data sharing in the French national repository (recherche.data.gouv) then the production of a Jupyter notebooks documented following literate programming principles and shared in Gitlab. The qualitative phase (interviews, focus group), guided by Pierre Paillé’s 'grounded theory analysis', highlights the importance of “reasoning traceability” providing an alternative to “traditional reproducibility” proposed for quantitative data analysis. Both phases benefit from the editorialization of a website, aimed at making the methodology and findings more accessible. This intervention critically evaluates reproducibility in research, providing a nuanced perspective on open science practices.

The study and all the process are documented in the dedicated website (in French) : https://declinerso.pubpub.org/. A summary of the study is available in English : https://hal-lara.archives-ouvertes.fr/hal-03800470v1