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National Spatial Data Infrastructure as a Catalyst for Good Governance and Policy Improvements in Pakistan

Bibliographic Data

ID22034245
AuthorsMunir Ahmad (0000-0002-4376-8410, Pakistan Army), Asmat Ali (0000-0002-1987-0466, Pakistan Army, corresponding author), Muhammad Nawaz (0000-0002-3719-7914, National University of Singapore), Farha SATTAR (0000-0001-7070-8715, Charles Darwin University), Hammad Hussain (0009-0009-0552-2549, Pir Mehr Ali Shah Arid Agriculture University)
Year2025
Volume14
Issue9
Pages324
Publication date2025-08-24
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14090324
OpenAlexW4413481010
LanguageEN
References cited54

This study explores the potential of National Spatial Data Infrastructure (NSDI) to strengthen governance and policy processes in Pakistan. Drawing on the UNESCAP principles of good governance and the EGU policy cycle model, this research applies a dual-method approach combining thematic document analysis of 23 national policy frameworks and a stakeholder survey (n = 28). The results reveal that while many policies reference spatial data conceptually, critical components such as standardised datasets, spatial dashboards, and institutional coordination mechanisms remain underdeveloped. Spatial references are largely confined to early policy stages, with limited integration in evaluation and maintenance, thereby limiting adaptive governance. Conversely, survey findings reflect strong recognition of NSDI’s value across governance principles, policy integration, and spatial awareness dimensions. The composite endorsement score highlights institutional demand for geospatial tools, data standards, and capacity-building platforms. The study concludes that embedding NSDI within policy and planning systems can bridge critical governance gaps, enhance implementation fidelity, and support inter-agency coordination for long-term policy effectiveness

Business · Corporate governance · Environmental planning · Geography · Regional science · Remote sensing · Spatial analysis · Spatial data infrastructure · Diverse Global Research Studies · E-Government and Public Services · Geographic Information Systems Studies · Finance

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