Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments.
%0 Journal Article
%1 schmidt2021facilitating
%A Schmidt, Carsten Oliver
%A Struckmann, Stephan
%A Enzenbach, Cornelia
%A Reineke, Achim
%A Stausberg, Jürgen
%A Damerow, Stefan
%A Huebner, Marianne
%A Schmidt, Börge
%A Sauerbrei, Willi
%A Richter, Adrian
%D 2021
%J BMC Medical Research Methodology
%K forschungsdaten framework health quality
%N 1
%P 63--
%R 10.1186/s12874-021-01252-7
%T Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
%U https://doi.org/10.1186/s12874-021-01252-7
%V 21
%X No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments.
@article{schmidt2021facilitating,
abstract = {No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments.},
added-at = {2024-06-18T16:31:36.000+0200},
author = {Schmidt, Carsten Oliver and Struckmann, Stephan and Enzenbach, Cornelia and Reineke, Achim and Stausberg, Jürgen and Damerow, Stefan and Huebner, Marianne and Schmidt, Börge and Sauerbrei, Willi and Richter, Adrian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/263bc735a5e4636f62c50ead44a3525eb/diglezakis},
doi = {10.1186/s12874-021-01252-7},
interhash = {591e500ac426b3bbd6c03f77f5e6476f},
intrahash = {63bc735a5e4636f62c50ead44a3525eb},
issn = {14712288},
journal = {BMC Medical Research Methodology},
keywords = {forschungsdaten framework health quality},
number = 1,
pages = {63--},
refid = {Schmidt2021},
timestamp = {2024-06-18T16:31:36.000+0200},
title = {Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R},
url = {https://doi.org/10.1186/s12874-021-01252-7},
volume = 21,
year = 2021
}
