READ ME File For 'Predicting Forefoot-Orthosis Interactions in Rheumatoid Arthritis using Computational Modelling'

Dataset DOI: 10.5258/SOTON/D2061

ReadMe Author: Emily Kelly, University of Southampton [ORCID ID- 0000-0001-5776-6857]

This dataset supports the publication:
AUTHORS- Kelly, E.S., Worsley, P.R., Bowen, C.J., Cherry, L.S., Keenan, B., Edwards, C.J., O’Brien, N., King, L., Dickinson, A.S.
TITLE- Predicting Forefoot-Orthosis Interactions in Rheumatoid Arthritis using Computational Modelling
JOURNAL Frontiers in Bioengineering and Biotechnology
PAPER DOI IF KNOWN

The paper featured secondary analysis of MR and clinical data from the FeeTURA study. 
Due to participant confidentiality constraints of the original study ethics, the imaging data are not enclosed in this raw data file.
Researchers wishing to enquire about obtaining data access should contact the University of Southampton's Research Governance Team.

This dataset contains: A simple Excel spreadsheet containing the raw data behind the tables and figures in the linked journal paper.

The keys for the Excel sheets are as follows:

Figure 4 used raw data from the clinical data and morphological measurements.
Figure 6 used raw data from the morphological measurements and model predictions.

Table 2 used raw data from the clinical data, morphological measurements, and model predictions.
Table 3 used raw data from the clinical data, morphological measurements, and model predictions to calculate correlations.

LFIS-IF - Leeds Foot Impact Scale - Impairment/footwear subsection
MH1 - First metatarsal head

Date of data collection: 01/2021-07/2021

Information about geographic location of data collection: University of Southampton, U.K.

Licence: CC-BY

Date that the file was created: 25/10/2021