**1. Introduction**

GIS and database are conceptualized frameworks that are designed to capture, gather, input, store, manage and analyze geographical data. Rooted in the science of geography, GIS integrates many types of data. It analyzes layers of information into visualizations using maps and 3D scenes with this unique capability. GIS reveals deeper insight into data, such as patterns, relationships, and situations helping users make smarter decisions. GIS is specialized in geographical related data unlike database which is able to handle non-geographical data. The application of GIS and Database management in the initial stages of ore mineral exploration has a significant impact on reducing exploration and exploitation prices [1–3]. The effective management of natural resources in many areas of applied geoscience is influenced by obtaining detailed geological/geographical information from various sources [1, 2]. Exploration geologists are generally confronted with various problems mainly related to the difficulty of covering large areas (time and limited access, natural and human risks) leading to a disparity in the information collected and methods of extrapolation and interpolation used for map model [1, 2]. The quality of data collected, is very crucial in determining the success or failure of any mining project activity. Proper handling of this data enters into one of the factors to be respected to ensure their reliability. With the rapid advancements in technology, the management of complex data is somehow easy. Essentially the mining sector has several tools which permits work to be done in the most efficient and time conscious way as possible. GIS coupled with Database management stand out as indispensable way to achieve this goal.

The spatial relationship of deposits can be assessed using spatial analysis with the support of a GIS, which can help unravel the geological processes that have been crucial in the formation of a particular type of mineral deposits [4, 5]. Thus, the systematic analysis of spatial data can facilitate the identification of mineral deposit properties within a metallogenic province [4, 6, 7]. Studying the spatial distribution of mineral deposits and the relationship between mineral deposits and determining geological factors using spatial analysis with GIS seems to be a suitable approach that can provide invaluable information at the start of any mining project.

Principally, the technique approach that we will dwell on in the course of this chapter is GIS and Database. The objective of this work is to build a database and a GIS system capable first of all to assess if a geological/geographical data taken from the field is valid or wrong and to effectively manage mining data in a GIS designed to positively influence any mining exploration project from its earliest stages to the end of the project. We focus on Meiganga area where we have been involved.
