parkrun UK Results 2024 19 July 2025

Haake, Steve (2025). parkrun UK Results 2024 19 July 2025. SHU Research Data Archive (SHURDA). http://doi.org/10.17032/shu-0000000275

Summary

Subset of parkrun survey data from 2024 UK health and wellbeing survey of parkrunners. Data used to create PLOS GLobal Public Health paper: A generic model of life satisfaction: the case study of parkrun

Keywords:

parkrun, life satisfaction, return of investment

Creators:

- Haake, Steve
- http://orcid.org/0000-0002-4449-6680

Contributors:

- Co-Investigator
- Bullas, Alice

Academic units:

Faculty of Health and Wellbeing (HWB) > Research Centres > Advanced Wellbeing Research Centre (AWRC)

Funders:

Funder Name	Grant Number	Funder ID
Parkrun Global	n/a

Publisher of the data:

SHU Research Data Archive (SHURDA)

Publication date:

23 June 2025

Data last accessed:

No data downloaded yet

Reason(s) for restriction and conditions for access:

The dataset has dual ownership between parkrun and Sheffield Hallam University. Data can be shared on signing a data sharing agreement: this may also identify other data fields from the original survey that may be useful in secondary analysis of the data.

DOI:

http://doi.org/10.17032/shu-0000000275

SHURDA URI:

https://shurda.shu.ac.uk/id/eprint/275

Additional details

Types of data:

Dataset

Collection period:

From	To
17 October 2024	30 October 2024

Data collection method:

UK adult parkrunners 18 years and over who had participated at least once in parkrun in the previous 12 months were sent a link by parkrun to a survey coded using Qualtrics.

Data processing and preparation activities:

Participants were provided with an information sheet to allow them to give informed consent by selecting “I consent to participate in this study”. This allowed them to fill out the survey. The link sent to participants contained an embedded code (SHA-2) which allowed survey data to be matched to the participants’ parkrun data.

Statement on legal, ethical and access issues:

The full set of survey data was edited to remove directly identifiable information in free text such as participant names, parkrun names, uniquely identifiable illnesses etc. The dataset is restricted to fields relevant only to the analysis required for the paper this is attached to in order to minimise the risk of participant identification.

Resource language:

English

Metadata language:

English

Depositing User:

Steve Haake

Date Deposited:

10 Jul 2025 07:06

Last Modified:

10 Jul 2025 07:06