Timeliness is one of the major dimensions in the field of data quality. Freshness or obsoleteness of data is determined by timeliness data quality dimension. Generally, timeliness is calculated by currency and volatility. Currency is calculated by age, delivery time and input time. On the other side, volatility of data is the duration of the validity of data. Currency and volatility of IMS depend on the factors like refreshment period, waiting period of data in the system, expiry time of the data and the query response time for query requests. Therefore, development a technique for measuring the timeliness of data in IMS is the purpose of this paper.