Geo-Data Management

Data may be Spatial and Non-Spatial. Depending upon the data acquition. Effective data management for GIS is essential in order to have the best result without disturbing the main objective. It can facilitate decision-making in resource management. However, there is no single or a blue print to manage GIS database, but a logically organized structure for the data management system is clearly important. The design of an effective data management system depends on requirements or objectives. The primary goal of a data management system is to provide the best quality data possible. Another objective is to provide data through data archiving.

The processes of database management system can be categorized into six components as follows:

• An inventory of existing data .
• Data will have to be designed and organized depending on structure that will facilitate their storage, and manipulation.
• Quality assurance and quality control (QA/QC).
• An administrative structure and procedures will have to be developed for secrity and reasonably standard functioning.

In concern with the database systems, It may be categorised as file based, hierarchial, network based, relational and object- oriented etc. according to the different area of interest. Pointing to the data, we can first categories what type of raw data is needed for a particular project. So, Data management is the key concept for any GIS related issues.