Due to the change in global demographics, a significant amount of research is being directed towards developing solutions to monitor and support the ageing as they perform activities of daily living. Research in this area is, however, being limited by the lack of shareable datasets available to support the development and evaluation of data driven activity recognition models. In our current work we have developed a suite of resources in an attempt to establish an openly available data repository where all datasets share a common format for the purposes of data storage. Within this paper the homeML Toolkit and the homeML Repository are presented. Results from a usability study of interactions with the toolkit, conducted by five computer science researchers are presented; the initial findings of which have been encouraging