Researches on scientific data publishing and data quality control are becoming more and more abundant, but the discussion on specific issues such as data publishing models, contents and methods of data quality control are slightly dispersed, which are not conducive to form overviews for researchers and practitioners. The paper firstly figured three models of data publishing and their processes, identified their collaborative issues and quality controllable units, and then built the data publishing ecosystem that integrated three models. Moreover, the paper summarized data quality control into three dimensions: data standards and specifications, data tools and systems, and data contents and forms. Accordingly, determining data quality control elements, and then a process-oriented data publishing quality control system is constructed.