| Summary: | Data quality monitoring is the first step in the certification of data recorded for offline physics analyses. Many experiments have developed their own dedicated monitoring system in the past. Most of them rely on their own event data model, which leads to a strong dependency on the data format and storage. We present here a generic data quality monitoring system, DQM4hep, that has been developed without any assumptions on the underlying event data model. This reduces the code maintenance and increases the portability and reusability across other experiments. We first introduce the framework architecture and the various core components as well as tools provided by the software package. We then give an overview of the different experiments using DQM4hep and the foreseen integration in future other experiments. We finally present the ongoing and future software development for DQM4Hhep and long-term prospects.
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