The researchers analyzed a large set of astronomical data to find outliers and common factors affecting multiple observation series. They used a robust method to identify outliers and discovered that their occurrence intensity varies over time. By testing the independence of observation series, they found evidence of common factors influencing many series. The researchers also examined gaps in the data and highlighted interesting characteristics using data mining techniques.