Autor: |
Ayşenur Süer, Sarah Riepenhausen, Michael Storck, Leonard Greulich, Claudia Zeidler, Sonja Ständer, Martin Dugas |
Rok vydání: |
2022 |
DOI: |
10.3233/shti220229 |
Popis: |
A generic approach for assessment and continuous monitoring of data quality in ODM-based research data has been developed. The focus is on the two data quality indicators completeness and syntactic correctness. The main idea is to enable the generation of a data quality report without additional programming effort. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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