The data-driven scientific model based on big data and artificial intelligence technology has promoted the transformation of Earth science research. As an important branch of Earth science, modern mineral deposits has accumulated a large amount of data after more than 100 years of development. The flow and sharing of these data is the key to realizing its resource value. In this paper, we introduce databases related to mineral deposits in various countries, such as China's "Geological Cloud" and Global Mineral Resource Reserve Dynamic Assessment Database, Australia's Deep Earth Exploration Program AuScope,the United States Mineral Resources Online Spatial Database, Geofaces Database of Society of Economic Geologists (SEG) and the SNL Metals & Mining Database.Meanwhile, we also introduce several important progresses made by applying big data and artificial intelligence methods in regional metallogenic regularity, genetic mechanism of ore deposit, discrimination of deposit type, resource potential evaluation and strategic consultation. This paper puts that it is imperative to integrate global massive data to build an open, shared and unified big data platform for mineral deposits database in the framework of the Deep-time Digital Earth (DDE) Big Science Program.