The Industrial Internet of Things (IIoT) holds great potential for fostering innovation across various industries. This study explores the role of boundary resources (BR) in catalyzing this potential, specifically focusing on the experiences and challenges faced by data scientists within IIoT platforms. In a qualitative research approach, semi- structured interviews were conducted with eight data scientists that uncovered how specific BR related to metadata management, tool integration, business models, and API design might impact their work and the innovative environment. The analysis reveals that these BR are essential in shaping the effectiveness of IIoT platforms but often fall short in meeting the unique needs of data scientists, thereby inhibiting innovation. The findings suggest that an actor-centric redesign of BR, emphasizing the specialized workflows and technical demands of data scientists, might enhance the flexibility and functionality of IIoT platforms. Platform owners are encouraged to adopt adaptable and dynamic BR designs to leverage data scientists' diverse capabilities and insights, especially in business-to-business (B2B) environments.