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A method for representing the digest information of each dataset is proposed,oriented to the aid of innovative thoughts and the communication of data userswho attempt to create valuable products, services, and business models using orcombining datasets. Compared with methods for connecting datasets via sharedattributes (i.e., variables), this method connects datasets via events,situations, or actions in a scenario that is supposed to be active in the realworld. This method reflects the consideration of the fitness of each metadatato the feature concept, which is an abstract of the information or knowledgeexpected to be acquired from data; thus, the users of the data acquirepractical knowledge that fits the requirements of real businesses and reallife, as well as grounds for realistic application of AI technologies to data.

Data Leaves: Scenario-oriented Metadata for Data Federative Innovation