Operationalizing Open Science: Enhancing Research Quality and Scientific Impact

The paradigm of Open Science is increasingly recognized as a crucial mechanism for enhancing the quality and impact of scientific research. This abstract proposes a framework to operationalize Open Science principles through structured approaches that facilitate transparency, collaboration, and accessibility within the research ecosystem. We argue that by systematically implementing Open Science practices such as open data sharing, collaborative authorship, and public engagement, research outputs can be significantly improved in terms of reproducibility, innovation, and societal relevance.

This Oral presentation will synthesize existing literature and case studies that exemplify the successful integration of Open Science methodologies across various disciplines, highlighting their potential to mitigate common issues such as the spread of misinformation, the reproducibility crisis, and the “File Drawer” Problem. We examine various tools and platforms that support these initiatives, including Zenodo, preregistration using the Open Science Foundation, and ORCID. In addition to sharing the free DUTC Open Science training, which provides the exact needed toolkit and skills to start the Open Science journey. Ultimately, our investigation into operationalizing Open Science reveals a path towards diminishing the gap between scientific research and its application in real-world contexts, fostering scientific advancement.