# NRCD: An Open Database of Collegiate Running with Unified Performance Standardization

arXiv: https://arxiv.org/abs/2608.14776 · HTML: https://mlsanity.com/paper/2608.14776/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 82 references that are in the map.
- First posted on arXiv 14 Aug 2026.

## Builds on (most cited first, 1 of 1)

- [Prediction and Quantification of Individual Athletic Performance](https://mlsanity.com/paper/1505.01147/) (2015)

## Abstract (arXiv)

Collegiate running in the United States generates thousands of race results annually in cross country and track and field, yet no large-scale dataset has been publicly available for research. Existing websites such as Athletic.net, MileSplit, and TFRRS host results but do not support bulk download, restricting prior analyses to ~500 performances, often skewing studies toward male athletes. We introduce the National Running Club Database (NRCD), the first openly available collegiate running dataset at scale: 143,868 approved performances from 31,351 athletes across 1,423 meets in four sports (cross country (XC), indoor and outdoor track, and road races), 36.2% women, spanning 2003-2026. Meets from August 2023 onward carry comprehensive course distance, elevation gain and loss, weather at race time, and track venue metadata (99.9% of XC rows with weather fields). NRCD is community-governed through open submission and expert approval and is maintained as a live database whose meet volume has grown yearly. We release a unified performance standardization framework that operationalizes established distance, elevation, and heat adjustments in one pipeline; XC-only validation; heat is a Hadley-band heuristic. We recommend gender-stratified modeling. On XC, full standardization lowers median within-athlete cross-meet variability by 51.1% (women) and 35.4% (men) versus raw times. We release the dataset and pipeline with a Python package `nrcd' under FAIR principles, supporting longitudinal athlete modeling, environmental-confounder studies, and gender-equity research in collegiate sport.