：当前，业界对科学数据出版及其质量控制的研究渐趋丰富，但对诸如数据出版的模式与形态、质量控制的内容与方法等具体问题的讨论稍显分散，不利于研究者和实践者形成全局的视野、进行整体的把握。文章首先梳理了三种数据出版模式的出版流程、协同环节及质量可控环节，构建了融合三种出版模式的数据出版生态系统；然后将数据质量控制的内容与方法归纳为数据标准/规范、工具/平台、内容/形式三个维度；确定了数据质量控制要素，据此构建了面向流程的数据出版质量控制体系。

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.