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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v6i12.9083</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Provincial Data Quality Control Strategy for the Operating Platform of Meteorological Data Business System</title><url>https://artdesignp.com/journal/SSR/6/12/10.26689/ssr.v6i12.9083</url><author>ZhangXuanyu,ZhaoBingyu,HuangXinhua</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>6</volume><issue>12</issue><history><date date-type="pub"><published-time>2024-12-31</published-time></date></history><abstract>Meteorological data is the record and forecast of meteorological changes. It can provide certain guidance for people’s production and life, so it is an important information content. Therefore, the current meteorological data management has been transformed from the traditional manual management mode to the business system operating platform management mode, which can better complete the collection, storage, and analysis of meteorological data, and improve the efficiency of meteorological data and data processing. This paper mainly analyzes the role of the operating platform of the meteorological data business system and summarizes the sources of meteorological data misinformation and data quality control strategies to ensure the reliability of meteorological data.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Hu W, Xiong X, Wei MD, et al., 2023, Meteorological Data Service Monitoring System and Data Transmission Quality Analysis. 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