Journal Article

DKFZ-2019-02072

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Automated Reports for Monitoring and Improving Data Quality in a Translational Research Network.

Schmidt, E. (First author)DKFZ* ; Eichelser, C.DKFZ* ; Ahlborn, B.DKFZ* ; Keune, D. ; Castaños-Vélez, E. ; Juárez, D.DKFZ* ; Lablans, M. (Last author)DKFZ*

2019
IOS Press Amsterdam

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Please use a persistent id in citations: doi:DOI:10.3233/SHTI190483

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.

Note: #EA:E260#LA:E260#

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Contributing Institute(s):

1. DKTK München (L701)
2. Verbundinformationssysteme (E260)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2019

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Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

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