Abstract
ABSTRACTMaintaining a positive cost–benefit ratio for hydrologic data collection is challenging for public water management and regulatory agencies given budgetary constraints. We examine and discuss the evolution of a government agency in the last 20 years to identify the best practices for collecting, managing, and disseminating hydrologic data. The best practices include (1) developing in-house field data collection systems and integrating them with commercial, off-the-shelf software for the enterprise database, (2) standardizing hardware and data acquisition software, (3) collaborating with other agencies and tracking their data collection efforts to avoid redundancy, (4) utilizing open-source programming languages for data quality assurance, (5) rationalizing data collection network, and (6) taking a proactive approach with data collection to better prepare for hydroclimatic variability. Transforming data into easily understandable information and its near-real-time dissemination can add value to the data (e.g. providing inundation instead of water level above mean sea level) in the future.
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