Recently, in order to utilize big data from domestic and foreign government agencies, we are releasing public big data. However, the released public big data does not consider the user's convenience, such as data format and classification method differs depending on the institution to be provided, such as inconsistency in update period or statistical unit. As a result, in this thesis, we investigated and analyzed the current situation of the public spatial Big Data in the country and studied the method of using big data in the public spatial. In this paper, we present the schema of data contents in a tabular form, and provide summaries of descriptions, contents (examples) and units of each schema items, In terms of relative accessibility, APIs are provided in data formats such as xls and xml, detailed category and subject classification related to the data provided, and more detailed summary information, unity of statistical units, update period management, private space Big Data And openness. If these improvement measures are applied in the future, the space big data will be used in various industrial fields and quality service will be possible.