Back To Schedule
Thursday, June 8 • 3:31pm - 3:51pm
Automated Data Quality Assessments for Observational Studies with dataquieR - Elisa Kasbohm & Joany Mariño, University Medicine Greifswald

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
The quality of medical research data can be affected by various sources, ranging from erroneous measurement devices to selective drop-out of participants. For this reason, data quality must be routinely assessed, which requires efficient and comprehensive tools. dataquieR enables to assess the quality of research data collections, especially for observational studies. The scope of checks is based on the data quality framework by Schmidt et al. (2021) and depends on the available metadata. The metadata describe properties of single variables (e.g., range of numeric values, codes for missing values), combinations of variables (e.g., contradictions, multivariate outliers) or information about examinations and the entire study (e.g., number of participants). This information can be simply provided in spreadsheets. Extensive data quality reports can then be generated with a single command call and viewed interactively in a browser. Each report output is reproducible, as it is possible to extract code snippets from the report to re-run specific checks. dataquieR can be installed from CRAN and more information is provided on our website (https://dataquality.ship-med.uni-greifswald.de).

avatar for Elisa Kasbohm

Elisa Kasbohm

University Medicine Greifswald
I am a researcher in public health, statistics and biomathematics at the University Medicine Greifswald. Within their Quality in the Health Sciences unit, we develop an R package for data quality assessments in epidemiological research, dataquieR. My research interests are very broad... Read More →
avatar for Joany Mariño

Joany Mariño

University Medicine Greifswald
As a researcher in the Quality in the Health Sciences unit at the University Medicine Greifswald, I contribute to developing our R package for data quality assessments, dataquieR. Additionally, I work on data harmonization and analyses in international network projects. In my research... Read More →

Thursday June 8, 2023 3:31pm - 3:51pm EDT
  Session Presentation
  • Session Slides Attached Yes