Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network.
Stud Health Technol Inform
; 264: 1458-1459, 2019 Aug 21.
Article
in En
| MEDLINE
| ID: mdl-31438180
ABSTRACT
Standardised, automated quality reports were generated at three pilot locations of the decentralized translational research network DKTK with separated local data warehouses (LDW), for assessing syntactic conformity against common data element definitions deposited in a central metadata repository (MDR). Deviations in the LDW were categorised, and locally corrected. Comparisons of reports from two time points confirm a major improvement in data quality in terms of syntactic conformity, an essential prerequisite for network-wide data integration.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Translational Research, Biomedical
/
Data Accuracy
Language:
En
Journal:
Stud Health Technol Inform
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2019
Document type:
Article
Affiliation country:
Alemania