Good explanatory constructs for Data, Information and Knowledge are central to the Information Systems (IS) field in general, and in particular to theorising how best to generate insight from Data. The central role of Knowledge within such theory has been highlighted recently, as well as the importance of Learning and Research frames (for Data Analytics). Building on these ideas, this paper briefly reviews several related literatures, for relevant ideas to enrich IS theory building. A consensus is found as to the complex, socially constructed nature of Knowledge or Knowing, and the importance of human sensemaking for theorizing how new insight is generated. The paper argues for an intuitive conceptual and practical distinction between Data (which exists as an independent, reified resource), and Information and Knowledge (both of which are embodied or embrained). It briefly outlines how the ideas identified can contribute to theorizing, highlighting specific areas for further inter-disciplinary research.