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Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

Crossref DOI link: https://doi.org/10.1186/s12874-021-01252-7

Published Online: 2021-04-02

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Schmidt, Carsten Oliver

Struckmann, Stephan

Enzenbach, Cornelia

Reineke, Achim

Stausberg, Jürgen

Damerow, Stefan

Huebner, Marianne

Schmidt, Börge

Sauerbrei, Willi

Richter, Adrian
Funding

Funding for this research was provided by:

Universität Greifswald
License Information

Text and Data Mining valid from 2021-04-02

Version of Record valid from 2021-04-02
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Article History

Received: 1 December 2020

Accepted: 12 March 2021

First Online: 2 April 2021

Declarations

:

: Not applicable.

: All authors have approved the manuscript for publication.

: The authors declare that they have no competing interests.

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