The Directorate of Science, Technology and Innovation (DSTI) and the Sierra Leone Roads Authority (SLRA) have signed a Memorandum of Understanding (MoU) to implement a nationwide Road Asset Management System (RAMS) with an integrated mobile field application. The initiative marks a major step toward modernizing how the country’s roads, bridges, culverts, and related infrastructure are documented, monitored, and maintained.

Under the partnership, SLRA will adopt a centralized digital platform to record every road asset with precise GPS coordinates, photographic evidence, and standardized condition assessments captured by field engineers. The system is designed to shift maintenance practices from reactive repairs to predictive, data-driven interventions, reducing costs and improving safety.

The RAMS combines a centralized database with a mobile field application, allowing engineers to log the exact location and condition of assets on site. Each entry will include inspection notes, condition ratings, and time stamps, creating a continuous record of asset performance and deterioration.

“This partnership applies digital tools to a core public service, enabling data-driven decisions that protect citizens and extend the life of our infrastructure,” said a DSTI spokesperson.

An SLRA representative added, “With RAMS and the mobile field app, we can identify problems earlier, plan maintenance more effectively, and deliver safer roads for all Sierra Leoneans.”

DSTI’s role supports public sector institutions with digital solutions to improve service delivery, while RAMS provides SLRA with a dedicated tool to manage the growing road infrastructure inventory and institutionalize best practices in asset management.

Officials say the system’s rollout will lay the groundwork for safer roads, informed investment decisions, and sustainable maintenance. The MoU establishes a framework for implementation, training of field teams, and phased deployment across priority corridors, with the aim of delivering measurable improvements in road conditions and maintenance efficiency.