Dataset for "Assessing the performance of citizen science in a food hypersensitivity research pilot"
This dataset contains information about the extent and depth of engagement of food hypersensitive citizen scientists who registered for a co-designed citizen science pilot project. The dataset includes a data sheet for participants who registered to the project along with a datasheet of participants who went on to engage with the project. These include the citizen scientists' profile such as the regularity of their hypersensitive reaction occurring after encountering the index allergen(s), and how severe the participant reaction; and, their age, gender, ethnicity (reduced to White British or Irish, and other), working status, and how the participant heard about the project.
Cite this dataset as:
Thornhill, I.,
Corbett, E.,
Barnett, J.,
2024.
Dataset for "Assessing the performance of citizen science in a food hypersensitivity research pilot".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01427.
Export
Data
anonym_engagement.csv
application/csv (3kB)
Creative Commons: Attribution 4.0
This datasheet contains the information of citizen scientists who engaged with the project along with their profile including the regularity of their hypersensitive reaction occurs after encountering the index allergen(s), and how severe the participant reaction; and, their age, gender, ethnicity (reduced to White British or Irish, and other), working status, and how the participant heard about the project.
anonym_conversion.csv
application/csv (5kB)
Creative Commons: Attribution 4.0
This data sheet contains the information of the citizen scientists who initially registered for the project along with their participant profile including the regularity of their hypersensitive reaction occurs after encountering the index allergen(s), and how severe the participant reaction; and, their age, gender, ethnicity (reduced to White British or Irish, and other), working status, and how the participant heard about the project.
Code
CSTP Thornhill et al 2024.R
text/plain (2kB)
Creative Commons: Attribution 4.0
This document contains the R code for the analysis of the data underpinning the research publication. It includes the code for the constructed binomial and generalised linear models to predict conversion rate (from registrant to participant) and activity ratios.
Creators
Ian Thornhill
University of Manchester
Estelle Corbett
University of Bath
Julie Barnett
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
See the research publication "Assessing the performance of citizen science in a food hypersensitivity research pilot" for the information on data collection methods.
Methodology link:
Thornhill, I., Corbett, E., and Barnett, J., 2024. Assessing the Performance of Citizen Science in a Food Hypersensitivity Research Pilot. Citizen Science: Theory and Practice, 9(1), 18. Available from: https://doi.org/10.5334/cstp.644.
Documentation Files
CSTP Thornhill … description.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (11kB)
Creative Commons: Attribution 4.0
This document contains the description of the headers for both data files
Funders
Biotechnology and Biological Sciences Research Council
https://doi.org/10.13039/501100000268
Engaging food hypersensitive communities in citizen science
BB/W009102/1
Publication details
Publication date: 21 August 2024
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01427
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1427
Related papers and books
Thornhill, I., Corbett, E., and Barnett, J., 2024. Assessing the Performance of Citizen Science in a Food Hypersensitivity Research Pilot. Citizen Science: Theory and Practice, 9(1), 18. Available from: https://doi.org/10.5334/cstp.644.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Estelle Corbett
Faculty of Humanities & Social Sciences
Psychology