This paper presents an alternative to the traditional data collection approach. We present a compartmented data collection and processing system, which can greatly reduce the identification risk throughout the statistical value chain.

Statistical agencies are increasingly focussing on using new, and often big, data for generating official statistics, and interest in privacy preserving techniques are growing. Often, these new data sources are privately held and subject to commercial interests. A secure data capture and processing system has the potential of facilitating access to such data, access being the first and essential step towards utilizing new data sources for statistical purposes.