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Objective:By analyzing the biomedical papers retracted due to the reason that " original data not provided" , to discuss the necessity of preventing scientific data misconduct and the feasible solutions for its management.Methods:Data of the international papers that were published from Jan 2011 to Dec 2021 and retracted due to " original data not provided" were retrieved from Retraction Watch Database. The data of time distribution, institution, journal sources, reasons for retraction, and disciplinary distribution were statistically analyzed and visually processed by using software packages of Excel, Python 3.7, Gephi 0.92.Results:A total number of 529 papers published in the biomedical field were retracted due to " original data not provided" , and the time of publication and retraction occurred mainly in 2019 (27.41%) and 2021 (41.97%). In addition to the reason " original data not provided" used as search term, the reasons for withdrawal were mainly data and image problems caused by scientific data misconduct, and reasons related to the discovery and investigation process of the paper, and these reasons had a strong co-linear relationship. Besides, the 4 disciplinary of biology-cellular, biology-cancer, genetics, medicine-oncology also had a strong co-linear relationship.Conclusions:It is necessary to incorporating scientific research data management into the scientific research code of conduct, strengthen the training on the code of conduct for original scientific research records keeping, establish the scientific research data review mechanism, and promote the prevention and governance of scientific research data misconduct in the biomedical field.
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Based on the research platform constructed in the process of upgrading of the clinical scientific research sharing system,the paper optimizes the scientific research data structure,analyzes the problem of the original data quality,optimizes the original storage mode,and establishes a new data quality control system,so as to connect the clinical scientific research sharing system with the future development orientation of the medical big data era and precision medicine.
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The theoretical and practical achievements in domestic studies on data literacy were summarized by bib-liometric analysis and network investigation in aspects of the connotation of data literacy, requirements of data liter-acy, assessment of data literacy and education of data literacy with suggestions proposed for working out the policies of data management and data literacy education, implementing the embedded data literacy education, designing the data literacy teaching contents based on the life cycle of scientific research, and constructing the data culture.
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After the scientific research data management service model in Indiana University Library and Massa-chusetts University Library of USA was investigated, the contents, methods and tools of their scientific research data management service were comparatively analyzed and certain suggestions were put forward for scientific research data management service in domestic libraries.
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Data management service abroad provided by subject librarians in biomedical field for scientific researchers, and the model, contents and efficiency of subject librarians-provided biomedical research data management service in NIH were analyzed according to the need for scientific research data management service in biomedical researchers . The enlightenments of biomedical research data management service abroad on the subject service in our library were elaborated .