A Data Sharing Agreement (DSA) is an agreement among contracting parties regulating how they share data. A DSA represents a flexible mean to assure privacy of data exchanged on the Web. As an example, a set of intelligent user agents may interact with each other, and by means of DSA, may negotiate privacy requirements on behalf of human users. However, a key factor for the adoption of privacy’s technologies is not only their reliability, but also their usability. Here, we propose CNL4DSA, a Controlled Natural Language for DSA aiming at lowering the barrier to adoption of DSA, and, at the same time, ensuring mapping to formal languages that enable the automatic verification of agreements. Keywords Privacy Policy, Data Sharing Agreements, Controlled Natural Language, DSA authoring, DSA analysis.