Guan Qian Dong Ke Xia Yikun
Abstract (
)
Download PDF (
)
Knowledge map
Save
Data management has a direct impact on the Findable, Accessible, Interoperable and Re-usable of scientific research data and results, and is an important prerequisite for standardizing academic behavior. The retraction of papers is an important means to ensure the scientificity of papers and build academic trust. In recent years, the frequent retraction of papers in the field of life science reflects a variety of academic misconduct, including data management. Based on the analysis of the basic characteristics of retractions in the field of life science, this paper classifies the reasons for retractions, further analyzes the retractions related to data and images, and finds out their relative development trends in terms of period, time lag, country, discipline, journal and so on. Data and image problems are one of the main reasons for retractions of life science papers, and the frequency of data and image problems is related to discipline and journal level. The management of scientific research data should be strengthened from the aspects of ability promotion, system perfection, subject responsibility mechanism, process supervision, restraint and incentive means, etc.