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Research & Initiatives

On this page we will discuss various research initiatives relating to process data quality.

Process Data Quality Framework

An exciting new initiative is an open-source framework being designed to support plug-in solutions to data quality issues commonly encountered in process mining event logs.



ODIGOS Framework


The ODIGOS framework presents a new way of understanding organisational context and its relationship to the root-causes of data quality issues in event logs. ODIGOS also supports context-sensitive repair strategies.

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