Modeling and designing data ecosystems is central to the success of developing effective digital twins and ensuring seamless integration, exchange, and utilization of data from diverse sources. This presentation explores Asset Administration Shell's (AAS) pivotal role in orchestrating data ecosystems within digital twin developments. AAS serves as a standardized framework for encapsulating comprehensive asset information, facilitating interoperability, and enabling intelligent interaction among different digital twins agents and enablers. Through real-world examples and case studies, we delve into the key components and functionalities of AAS, highlighting its ability to provide a unified and standardized interface for accessing asset data across the entire lifecycle. We demonstrate how AAS fosters seamless communication and collaboration among disparate systems, enabling enhanced data-driven decision-making and predictive strategies.