This research focuses on accomplishing analysis problems and issues by examining the policies and systems related to geo-spatial big data which have recently arisen, and suggests political and systemic improvement plan for service activation. To do this, problems and probable issues concerning geo-spatial big data service activation should be analyzed through the examination of precedent studies, policies and planning, pilot projects, the current legislative situation regarding geo-spatial big data, both domestic and abroad. Therefore, eight political and systematical improvement plan proposals are suggested for geo-spatial big data service activation: legislative-related issues regarding geo-spatial big data, establishing an exclusive organization in charge of geospatial big data, setting up systems for cooperative governance, establishing subsequent systems, preparing non-identifying standards for personal information, providing measures for activating civil information, data standardization on geo-spatial big data analysis, developing analysis techniques for geo-spatial big data, etc. Consistent governmental problem-solving approaches should be required to make these suggestions effectively proceed.Keywords : Geo-Spatial Big Data Service, Policy and System, Improvement Plan 579 ISSN 1598-4850(Print) ISSN 2288-260X(Online) Original article Received 2016. 11. 24, Revised 2016. 12. 20, Accepted 2016. 31 1) Dept. of Urban Information Engineering, Anyang University, Korea(E-mail:goodjoonmin@gmail.com) 2) Research Professor of Smart Urban Space Institute, Anyang University, Korea(E-mail:katarsis717@gmail.com) 3) Member, Dept. of Urban Information Engineering, Anyang University, Korea(E-mail:ajw0603@anyang.ac.kr) 4) Corresponding Author, Member, Dept. of Urban Information Engineering, Anyang University, Korea(E-mail:dbshin@anyang.ac.kr) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.