Data quality report
Report information
Study data summary
| Number of ... | |
|---|---|
| observations in study data set | 2154 |
| variables in study data set | 29 |
| variables with item-level metadata | 29 |
Metadata summary
| Number of ... | |
|---|---|
| variables in item-level metadata | 29 |
| segments | 4 |
Scope of the data quality assessment
| Dimension | Number of data quality indicators | Number of data quality descriptors |
|---|---|---|
| Integrity | 7 | 0 |
| Completeness | 2 | 0 |
| Consistency | 7 | 0 |
| Accuracy | 0 | 2 |
About this report
The table below summarizes technical information about this report, the R session and the operating system.
Rendered using dataquieR 2.0.1.9000 at 2023-08-14 15:27:22
Related literature
Kasbohm E, Marino J, Richter A, Schmidt CO, Struckmann S (2023). dataquieR: Data Quality in Epidemiological Research. https://dataquality.qihs.uni-greifswald.de/.
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.
Overview of all performed quality checks
This overview is composed of two matrices. Their rows contain the variables of the study data, columns refer to the targeted data quality indicator functions. The meaning of the colors is described at the bottom of each table.
Issue Matrix
The issue matrix displays all potential data quality issues in the data.
Each cell of the issue matrix can have one of the following colours:
grey: no data quality measure is available;
blue: a data quality measure is available: no problems detected;
red: a data quality measure is available: a possible problem was detected needing further investigation.
Metadata Limitations Matrix
The metadata limitations matrix refers to problems originating from the metadata. It shows warnings related to missing or deficient metadata.
Each cell of the metadata limitations matrix can have one of the following colours:
grey: the function could not be applied;
yellow: the function produced a result, but metadata can be improved;
blue: the function produced a result;
red: the function produced no result due to missing metadata.
Error Matrix
Analysis Matrix
Other information
Moving the mouse pointer on the table shows the function, the variable of interest, and the warning or error message produced when calling the function.
Moving the mouse pointer on the variables displays the actual variable name instead of the label.
dataquieR 2.0.1.9000