# Overview ### **Overview of DataDance** DataDance is an Ethereum-based Layer 2 network focused on protecting user privacy in the AI era while enabling smooth and secure transactions of user assets. By leveraging advanced encryption technologies and privacy protection mechanisms, DataDance ensures that user data and transaction information remain confidential. While enhancing transaction speed and reducing costs, it provides users with a reliable asset management and trading environment, addressing the privacy needs of the new generation. ### **Mission Statement** The goal of DataDance: To create personal data asset warehouses for internet users and enable secure data ownership. ### **Why This Matters** The importance of data ownership lies in ensuring users’ control over their personal data. In today’s digital age, personal data has become a valuable asset, encompassing not only users’ identity information and behavioral patterns but also potentially involving privacy and sensitive information. Ensuring data ownership effectively protects user privacy, preventing data misuse and leakage. At the same time, data ownership grants users decision-making power over the use and sharing of their data, enabling them to better manage and utilize their data assets. As AI-driven services become increasingly widespread, the future will require personalized services for billions of users. These AI-driven services rely on deep analysis of personal data to provide more accurate and tailored user experiences. To achieve this, ensuring data ownership is especially important. Users need to trust that their data is in safe hands when given to AI systems, while also ensuring that these systems adhere to principles of transparency, fairness, and security in data usage. Only in this way can trust in AI services be established, ensuring that AI systems can fully realize their potential, delivering efficient and personalized services while safeguarding user privacy. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://datadance.gitbook.io/ddc/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.