Comparative Assessment of EQuIS and EIM for Efficient Environmental Data Management and Remediation Decision-making
Asian Journal of Environment & Ecology · pp. 129–136 · Published 12 Nov 2025
10.9734/ajee/2025/v24i11821Abstract
The environmental database management system, or EDMS, provide a set of fully-integrated high-tech tools enabling effective management of environmental data. EDMS provides a fundamental for successful remediation projects and ensuring regulatory compliance. This study emphasis on the significant challenges that an organization face in choosing the appropriate environmental database system. This provides a comprehensive study and evaluation of two widely used platforms Environmental Quality Information System (EQuIS) and Environmental Information Management (EIM). The two standard systems are analysed by employing descriptive and analytical approach to evaluates the key factors such as data management, authentication, accessibility, automation, GIS integration, security, and reporting capabilities. The results show that EQuIS is highly effective in providing strong data validation features and compliance with strict environmental regulatory and, while EIM extends greater flexibility, user-friendly web interfaces, and cloud-based advantages that support dynamic enterprise needs. This research proposes a practical framework to help professionals and organisations to select suitable environmental database systems that supports the improving data quality and better decision-making in environmental remediation efforts. In conclusion, the study highlights the critical role of EDMS in managing environmental data and ensuring regulatory compliance. The comparison between EQuIS and EIM reveals that EQuIS excels in data validation and regulatory adherence, while EIM offers superior flexibility and cloud-based accessibility. Organizations should select a system based on their specific operational needs and compliance requirements. Overall, adopting the proposed framework can enhance data quality and support more effective environmental decision-making.
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