{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T08:09:38Z","timestamp":1779178178382,"version":"3.51.4"},"reference-count":27,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T00:00:00Z","timestamp":1778976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"2022 Jiangxi Provincial Key R&D Program \u201cChallenge-Based\u201d Project-Research on Geological Spatiotemporal Big Data Cloud Service Platform and Its Key Visualization Technologies","award":["20223BBE51030"],"award-info":[{"award-number":["20223BBE51030"]}]},{"name":"Fund of Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources","award":["MEMI-2023-08"],"award-info":[{"award-number":["MEMI-2023-08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Aiming at the problems of low information management levels and low reuse rate of massive heterogeneous geological data of the Jiangxi Geological Bureau, a Jiangxi geological big data platform based on cloud service and big data technology was designed to realize the integration and sharing of Jiangxi geological big data. Firstly, the architecture of the Jiangxi geological big data platform is designed based on hierarchical thinking, including the infrastructure layer, data layer, platform service layer, application layer and user layer from the bottom up. Secondly, the key technologies for building a Jiangxi big data platform are described, including multi-layer service aggregation, geographic information service bus, geocoding service, Spark big data technology and elastic scaling technology. Finally, the main functions of the Jiangxi geological big data platform are introduced, including a platform portal website, a mobile portal system, a geological big data comprehensive analysis system and a geological 3D modeling system. The operation results of the platform show that the Jiangxi geological big data platform can effectively manage the massive heterogeneous geological data of the Jiangxi Geological Bureau and mine the value of the data.<\/jats:p>","DOI":"10.3390\/info17050494","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T07:35:43Z","timestamp":1779176143000},"page":"494","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Construction Method of Jiangxi Geological Big Data Platform in China"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5607-0989","authenticated-orcid":false,"given":"Hui","family":"Zhu","sequence":"first","affiliation":[{"name":"Jiangxi Geological Museum, Nanchang 330002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1877-1965","authenticated-orcid":false,"given":"Bin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Jiangxi Geological Museum, Nanchang 330002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3842-9010","authenticated-orcid":false,"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6371-9181","authenticated-orcid":false,"given":"Xiaolong","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,5,17]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Characteristics and rational utilization of geological big data","volume":"26","author":"Zhao","year":"2019","journal-title":"Earth Sci. 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