Abstract

To address climate change and environmental degradation, policymakers require high-quality, interoperable environmental statistics. This paper presents a conceptual framework for discussion and pilot testing, aiming to explore the potential of semantic technologies in environmental data governance. It moves beyond isolated figures toward holistic "ecosystem thinking" inspired by the theories of A.G. Tansley and H.T. Odum.
The study focuses on the Egyptian context, led by the Central Agency for Public Mobilization and Statistics (CAPMAS), to explore solutions for the chronic challenge of data fragmentation across national ministries.
The core of this framework is a Data Governance model that uses "Ontologies" as semantic bridges to align heterogeneous datasets into a unified, machine-readable knowledge base.
By transitioning from fragmented silos to a connected data ecosystem using semantic technology, the framework demonstrates the potential for enhanced data interoperability, aligned with FDES 2013 and SEEA standards.
A preliminary pilot illustrates the framework’s ability to achieve spatio-temporal alignment between integrated coastal zone management (ICZM) data in the northern Nile Delta and environmental migration indicators.
This implementation highlights significant potential for efficiency gains and improved metadata consistency. Furthermore, the paper addresses mitigation of institutional silos and technical skill gaps through standardized protocols and cross-disciplinary capacity building.
In conclusion, ontological modeling and robust data governance are strategic necessities for national data sovereignty. By presenting this framework, the paper provides a practical roadmap for discussion, helping national statistical offices consider the transition toward Linked Data ecosystems and strengthen their capacity to respond to global environmental challenges.