Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

Abstract

While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing. A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%).Dataset release was the least common mode (9.0%). The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

Why academics under‐share research data: A social relational theory

“…Productive workers are aggregate in that maintaining their position within the collectivity requires that they constantly add new skills and responsibilities for no additional compensation. Together, in the landscape of the academy, these two necessary attributes of the worker translate into increasing burdens for (1) cooperation (e.g., sharing data or releasing data; Sakai et al, 2023) and (2) production (scholarly output) for the supposed benefit of the collective. Collectivity is required to fully engage in the discourse of the academy through cooperation, and aggregation is required to meet the growing demands for engagement with technology (which is but one example) in order to be successfully "productive."…”