The domain model will represent cloud-based datasets and processes that a learner can follow to interactively explore the meaning of and applications of these datasets.
The model will support training a learner in the use of and curation of a knowledge graph in order to map out and visualize the meaning and potential applications of a collection of datasets. The model will support training this learner in effective processes for semantic integration and integrative analysis of cloud-based datasets.
The model will represent dataset registries and repositories to support training learners in effective search and retrieval of information resources, with a focus on semantic artifacts, datasets, and analysis software.
The model will also represent individual researchers, research activities, research instruments, and research communications in order to train a learner to construct and enrich a knowledge graph with the goal of supporting effective integration of and reuse of datasets.
Finally, the model will represent resources relevant to a training process such as notebooks, servers, modules, instructors, workshops, lessons, and learners, to support instructors in authoring lessons and conducting workshops.
A Domain Vision Statement1 is a short description (about one page) of the core domain and the value it will bring, the "value proposition." Ignore those aspects that do not distinguish this domain model from others. Show how the domain model serves and balances diverse interests. Keep it narrow. Write this statement early and revise it as you gain new insight.
It should be usable directly by the management and technical staff during all phases of development to guide resource allocation, to guide modeling choices, and to educate team members.
Footnotes
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Domain Vision Statement, pp415-6, in Evans, Eric. Domain-Driven Design: Tackling Complexity in the Heart of Software. Boston: Addison-Wesley, 2004. ↩