E-research event data quality

Abstract

One of the most important data types e-Researchers use to conduct analysis processes is “event data”, which records information of some timed events in a particular domain. However, real-world event data is usually of poor quality, resulting in large amounts of money and labour to tackle the ensuing problems. Existing solutions to event data quality are very limited, mostly supporting merely data quality in general without facilitating the ease of event pattern detection; existing event processing systems, on the other hand, are very inefficient in dealing with data quality issues. In this research, we have summarised the criteria to address event data quality issues and compared possible solutions including knowledge-based systems and event processing systems. We conclude by proposing an approach that combines a rule-based system with an event processing system in a novel way.