Economics of Integrated Research Data Management: Enhancing Efficiency and Impact

This paper delves into the economic implications of integrated research data management (IRDM), analyzing its transformative potential and associated challenges. We explore the intersection of data, research practices, and economic understanding. The study leverages data collected from researchers to examine real-world IRDM practices. Our analysis reveals that effective data management practices play a critical role in reshaping the landscape of research and development (R&D). Key findings highlight the economic benefits associated with IRDM, including: Enhanced efficiency through streamlined data management processes; Increased research reproducibility, leading to more reliable findings; Facilitation of interdisciplinary collaboration, fostering innovation. These benefits translate to tangible economic advantages, such as costsavings, resource optimization, and ultimately, increased research productivity. Furthermore, the analysis suggests that IRDM fosters innovation in research methodologies and informs evidence-based policymaking, as corroborated by the respondent responses. The paper concludes by proposing specific recommendations for researchers, institutions, and policymakers. These recommendations address navigating the cultural shift towards data literacy, investing in robust technological infrastructure, and upholding ethical considerations surrounding datamanagement. In conclusion, this research significantly contributes to advancing research practices in the big data era by emphasizing the transformative potential of IRDM for all stakeholders.