Open Science and Research Reproducibility in the Social Sciences, Explanatory Synthesis for Canada

The movement toward open science represents a fundamental shift in how empirical evidence is generated and disseminated, particularly within the Canadian social sciences. By prioritizing transparency and the accessibility of raw data, researchers aim to mitigate the risks associated with selective reporting and opaque analytical pipelines [1]. This transition is essential for maintaining public trust and fostering an environment where findings can be rigorously vetted and validated across diverse institutional contexts.

Despite these advancements, the integration of open practices faces significant hurdles, including the need for standardized protocols and the reconciliation of diverse disciplinary approaches to data management. The persistence of publication bias remains a critical concern, as the pressure to produce novel, positive results often obscures the value of replication studies [4]. Addressing these challenges requires a nuanced understanding of how existing frameworks—such as the PRISMA-P guidelines—can be adapted to suit the specific needs of the Canadian research landscape [4].

This explanatory synthesis evaluates the current state of open science practices within Canada, emphasizing the intersection between global methodological standards and local academic requirements. By synthesizing evidence from existing literature, this work provides a structured framework for enhancing reproducibility. The following sections outline the necessary shifts in policy and practice, ultimately offering a roadmap for Canadian social scientists to strengthen the robustness and credibility of their scholarly contributions.