The ease with which data can be transferred without loss of meaning from a store to an analytical tool – whether this tool is in the hands of a data scientist, a learning science researcher, a teacher, or a learner – and the ability of these users to select and apply a range of tools to data in formal and informal learning platforms are important factors in making learning analytics and educational data mining efficient and effective processes. I have recently written a report that describes, in summary form, the findings of a survey into: a) the current state of awareness of, and research or development into, this problem of seamless data exchange between multiple software systems, and b) standards and pre-standardisation work that are candidates for use or experimentation. The coverage is, intentionally, fairly superficial but there are abundant references. The paper is available in three formats: Open Office, PDF, MS Word. If printing, note that the layout is “letter” rather than A4. Comments are very welcome since I intend to release an improved version in due course.