Provided on Arc-GIS and data collection (GIS and database) for PDWRAM staff in 18 provinces.

The content covered questionnaires, characteristics of data collection, assessment of infrastructure maintenance requirements, GIS data processing, and mapping to enhance staff capabilities in inventory management and geographic information systems, promoting data collection and information system updates.

Personnel capacity enhancement: 15 staff members from 18 PDWRAMs are now capable of using GPS and field survey data collection for information updates, and 5 staff members at the MOWRAM central level are able to develop an irrigation plan information system and coordinate data collection activities.

Complete information system: Development of a reliable and updated geographic reference data information system for irrigation plans, effectively managing and developing water resources in Cambodia, managing statistical data, irrigation, flood control, and other information, and generating clear reports to support short-term, medium-term, and long-term planning and policy formulation.

Data collection and ArcGIS training courses were successfully conducted in 18 PDWRAMs from February to May 2023, co-hosted by the director of DPIC and the director of PDWRAM. The training involved 339 personnel with balanced gender distribution.

The course covered questionnaire explanation, data collection feature analysis, infrastructure maintenance requirement assessment, and GIS data processing and mapping. Post-evaluation, 75% of participants rated the course "very good," and 25% rated it "good," indicating significant improvement in data collection and mapping knowledge and increased awareness of data standards among PDWRAM staff.

Field investigations were signed in 260 irrigation plans across 18 provinces from mid-April to May 2023. By the end of August, data collection was completed in the six provinces of Banteay Meanchey, Kampong Chhnang, Kratie, Prey Veng, Pailin, and Tbong Khmum, providing crucial data support for the irrigation database and aiding the subsequent development of best practices for irrigation data collection.