Work

Geospatial Road Cycling Race Results Data Set

Year: 2024

Type: preprint

Abstract: The field of cycling analytics has only recently started to develop due to limited access to open data sources. Accordingly, research and data sources are very divergent, with large differences in information used across studies. To improve this, and facilitate further research in the field, we propose the publication of a data set which links thousands of professional race results from the period 2017-2023 to detailed geographic information about the courses, an essential aspect in road cycling analytics. Initial use cases are proposed, showcasing the usefulness in linking these two data sources.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2410.09055

Authors: Janssens, Bram, Pappalardo, Luca, De Bock, Jelle, Bogaert, Matthias, Verstockt, Steven

Institutions: Ghent University, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Research Foundation - Flanders

Language: English

Topic: Sports Performance and Training

Subfield: Orthopedics and Sports Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Vlaamse regering, Horizon 2020 Framework Programme, Bijzonder Onderzoeksfonds UGent

Awards: G1716386587, G3488540456, UniCycL: Uniform & General Framework for Textual Input Representation in Professional Cycling Talent Management, G899169222

OpenAlex ID: W4403564203

Cites:

Cited by: 1

Related to: 10