(programming focus: R)
(programming focus: R)
(programming focus: R)
(project lead, programming focus: Stata)
(programming focus: R)
(programming focus: R)
The Data Quality User Group
dataQuUG
is a mailing list for questions and
discussions about data quality and all its aspects.
We want to hear about your experience using dataquieR. This quick survey (English / German version) will help us understand what you like and how we can improve. Your feedback is essential for making the tool better for you.
Struckmann S., Mariño J., Kasbohm E., Salogni, E., Richter A., & Schmidt CO. (2024, March). Standards and Tools for Data Quality Assessment in Epidemiological Studies. Retrieved from https://dataquality.qihs.uni-greifswald.de.
@online{
author = {Stephan Struckmann, Joany Mariño, Elisa Kasbohm, Elena Salogni, Adrian Richter, Carsten Oliver Schmidt},
title = {Standards and Tools for Data Quality Assessment in Epidemiological Studies},
year = 2024,
url = {https://dataquality.ship-med.uni-greifswald.de}
}
European Union’s Horizon 2020 programme: grant agreement No 825903 (euCanSHare).
Deutsche Forschungsgemeinschaft (DFG): SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4, and NFDI 13/1.
Bundesministerium für Bildung und Forschung (BMBF): 01ER1301A and 01ER1801A (NAKO Gesundheitsstudie).
Network projects:
euCanSHare: dataquieR
refinement, implementations
in Square2
web application.
National Research Data Infrastructure for Personal Health Data: NFDI Task Force COVID-19 use case application, extended metadata concept with statistical implementations, ongoing.
German National Cohort (NAKO Gesundheitsstudie): specific requirements for NAKO / multicenter studies, tests and developments using NAKO data, ongoing.
Please find detailed contact data at the homepage of the Institute for Community Medicine: SHIP-KEF
To report a bug, please use the possibilities described at the Downloads page. Thank you.