在資訊化的時代下，資料品質在企業營運中具有關鍵性影響；這對於以非常依賴數據資料的氣象領域而言，更是如此。以全面品質管理而言，現有氣象資料品質控制之方式主要為錯誤與遺漏值之偵測，即僅針對資料結果面而忽略其他方面，例如作業流程也可能引發品質問題，再加上氣象資料過程實也為一種資訊系統的展現。有鑑於此，本研究即從流程觀點與資訊科技角度，提出一個氣象資料品質檢核綜效架構（ITMDQ），來協助全面掌握氣象資料品質。在實務應用上，本研究依據所提出的架構實作出氣象資料品質保證檢核系統（MDQIS），並使用中央氣象局的淡水觀測站連續6 年的資料來展示所提出的架構並自動化氣象資料品質保證作業。就整個氣象資料品質研究而言，本研究屬於先導型的探索研究。因此，研究針對現階段的成果與限制加以討論，並於文章最後提出未來的研究方向。

In this information age, data quality (DQ) plays a crucial role in supporting ad-hoc business decisions. In the meteorology domain, DQ is also critical due to the highly data intensive nature of the domain. Existing methods of meteorological DQ control mainly focus on the output of dataset; however, from the total quality's point of view, the problems may also arise from the processes. Moreover, the meteorological data operations are indeed a type of data warehousing in information technologies, which has the inherent DQ requirements. By taking the total quality aspect and information technology into account, this research proposes a comprehensive meteorological DQ assessment framework (ITMDQ). Specifically, by the four quality indicators built in, the framework provides a comprehensive view to handle meteorological data qualities. This paper implements an application (MDQIS) and uses real data to demonstrate the proposed work. Within the scope of a preliminary study, the results of current research are discussed; and several suggestions are made to outline the next step of the entire meteorological data quality research.