Published September 27, 2022 | Version v1
Poster Open

Reviewing R packages for data quality assessments in observational health research

Authors/Creators

  • 1. University Medicine Greifswald
  • 2. Universitätsklinikum Erlangen

Description

Results from a review on R packages for data quality assessments in observational health research, presented at the 17. Jahrestagung DGEpi in Greifswald.

Notes

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).

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2022_DGEpi_Marino_et-al.pdf

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Additional details

Funding

European Commission
euCanSHare - An EU-Canada joint infrastructure for next-generation multi-Study Heart research 825903

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).