To cite dataquieR in publications use

Kasbohm E, Marino J, Salogni E, Richter A, Schmidt CO, Struckmann S (2026). dataquieR: Data Quality in Epidemiological Research. R package version 2.8.15 doi: 10.32614/CRAN.package.dataquieR, https://dataquality.qihs.uni-greifswald.de/.

Struckmann S, Mariño J, Kasbohm E, Salogni E, Schmidt CO (2024). “dataquieR 2: An updated R package for FAIR data quality assessments in observational studies and electronic health record data.” Journal of Open Source Software, 9(98), 6581. doi:10.21105/joss.06581. https://doi.org/10.21105/joss.06581.

Mariño J, Kasbohm E, Struckmann S, Kapsner LA, Schmidt CO (2022). “R Packages for Data Quality Assessments and Data Monitoring: A Software Scoping Review with Recommendations for Future Developments.” Applied Sciences, 12(9), 4238. doi:10.3390/app12094238. https://doi.org/10.3390/app12094238.

Richter A, Schmidt CO, Krüger M, Struckmann S (2021). “dataquieR: assessment of data quality in epidemiological research.” Journal of Open Source. doi:10.21105/joss.03093.

Schmidt CO, Struckmann S, Enzenbach C, Reineke A, Stausberg J, Damerow S, Huebner M, Schmidt B, Sauerbrei W, Richter A (2021). “Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R.” BMC Med Res Methodol. doi:10.1186/s12874-021-01252-7.

Corresponding BibTeX entries:

  @Manual{dataquieRManual,
    title = {{dataquieR}: Data Quality in Epidemiological Research},
    author = {Elisa Kasbohm and Joany Marino and Elena Salogni and
      Adrian Richter and Carsten Oliver Schmidt and Stephan
      Struckmann},
    year = {2026},
    note = {R package version 2.8.15 doi:
      10.32614/CRAN.package.dataquieR},
    url = {https://dataquality.qihs.uni-greifswald.de/},
  }

  @Article{Struckmann2024,
    author = {Stephan Struckmann and Joany Mari{\~{n}}o and Elisa
      Kasbohm and Elena Salogni and Carsten Oliver Schmidt},
    title = {dataquieR 2: An updated R package for FAIR data quality
      assessments in observational studies and electronic health record
      data},
    journal = {Journal of Open Source Software},
    year = {2024},
    publisher = {The Open Journal},
    volume = {9},
    number = {98},
    pages = {6581},
    doi = {10.21105/joss.06581},
    url = {https://doi.org/10.21105/joss.06581},
  }

  @Article{Marino2022,
    author = {Joany Mari{\~{n}}o and Elisa Kasbohm and Stephan
      Struckmann and Lars Alexander Kapsner and Carsten Oliver
      Schmidt},
    title = {R Packages for Data Quality Assessments and Data
      Monitoring: A Software Scoping Review with Recommendations for
      Future Developments},
    journal = {Applied Sciences},
    year = {2022},
    volume = {12},
    number = {9},
    pages = {4238},
    doi = {10.3390/app12094238},
    url = {https://doi.org/10.3390/app12094238},
  }

  @Article{Richter2021,
    title = {{dataquieR}: assessment of data quality in epidemiological
      research},
    author = {Adrian Richter and Carsten Oliver Schmidt and Markus
      Kr\"{u}ger and Stephan Struckmann},
    journal = {Journal of Open Source},
    year = {2021},
    doi = {10.21105/joss.03093},
  }

  @Article{Schmidt2021,
    title = {Facilitating harmonized data quality assessments. A data
      quality framework for observational health research data
      collections with software implementations in R},
    author = {Carsten Oliver Schmidt and Stephan Struckmann and
      Cornelia Enzenbach and Achim Reineke and J\"{u}rgen Stausberg and
      Stefan Damerow and Marianne Huebner and B\"{o}rge Schmidt and
      Willi Sauerbrei and Adrian Richter},
    year = {2021},
    doi = {10.1186/s12874-021-01252-7},
    journal = {BMC Med Res Methodol},
  }