D2.2 The initial inDemand validation framework and the general guideline for data collection

A common data collection and feedback procedure will be established to ensure robust data collection and best knowledge sharing among work packages. All the relevant deployment data (e.g., implementation issues, lessons learned, best practices as well as quantitative validation data) will be collected for continuous monitoring and optimization. Protocols and templates for effective gathering of knowledge and insight will be also produced. A Knowledge-base will be designed to systematically collect and share the relevant information and knowledge.