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{"references": ["Schmidt CO, Struckmann S, Enzenbach C, et al. Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R. BMC Med Res Methodol 2021;21(63)."]}
This work was also supported by the DFG (NFDI 13/1, SCHM 2744/9-1, SCHM 2744/3-1), and by the German Federal Ministry of Education and Research (BMBF) within the Medical Informatics Initiative (MIRACUM Consortium, FKZ: 01ZZ1801A).
Results from a review on R packages for data quality assessments in observational health research, presented at the 17. Jahrestagung DGEpi in Greifswald.
R project for statistical computing, data quality assessment and monitoring, exploratory data analysis, initial data analysis, data reporting
R project for statistical computing, data quality assessment and monitoring, exploratory data analysis, initial data analysis, data reporting
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