Data generated from timed races in park settings, typically covering 13.1 miles, offer valuable information. These datasets often include finishing times, participant rankings, age group placements, and sometimes split times at various points along the course. A specific example would be the tabulated outcomes of the annual “Rock Creek Park Half Marathon,” providing a performance record for each registered runner.
Access to this information benefits runners, organizers, and the broader running community. Runners can track personal progress, compare their performance against others, and identify areas for improvement. Race organizers utilize the data to manage the event efficiently, analyze participation trends, and refine future races. Furthermore, these records contribute to a historical archive of running achievements within specific locations, showcasing community involvement and athletic accomplishment over time. This data can also be valuable for researchers studying athletic performance and the impact of park-based physical activities.