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NRCD: An Open Database of Collegiate Running with Unified Performance Standardization — arXiv:2608.14776

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.14776
License (as archived): CC0-1.0
Archived: 2026-10-18T19:07:32.553Z
SHA-256 of the archived text: b995b1469efa7bfc26a390c4dfb69548fe096bccb6f135dca58803405c2fe1e8
Stable URL of this page: https://metraipolis.com/documento/dc_a7cfec99d381

How to cite

NRCD: An Open Database of Collegiate Running with Unified Performance Standardization — arXiv:2608.14776 — arXiv (en), https://arxiv.org/abs/2608.14776 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_a7cfec99d381 (Metraipolis archive dc_a7cfec99d381, sha256 b995b1469efa7bfc26a390c4dfb69548fe096bccb6f135dca58803405c2fe1e8)

BibTeX

@misc{dca7cfec99d381,
  title = {NRCD: An Open Database of Collegiate Running with Unified Performance Standardization — arXiv:2608.14776},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.14776},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_a7cfec99d381; sha256 b995b1469efa7bfc26a390c4dfb69548fe096bccb6f135dca58803405c2fe1e8},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.14776. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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 this http URL , 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.

Tema degli esploratori: governance digitale e beni comuni (retro-catalogo arXiv: annunci del 2026-08-18 in cs.CY).
Categorie arXiv: Machine Learning (cs.LG) ; Computers and Society (cs.CY); Information Retrieval (cs.IR).
Pagina del lavoro: https://arxiv.org/abs/2608.14776 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-18T18:12:36.552Z dalla pagina https://arxiv.org/catchup/cs.CY/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).