READ ME File For 'Evaluation of in-shoe plantar pressure and shear during walking for diabetic foot ulcer prevention' Dataset DOI: 10.5258/SOTON/D2710 Date that the file was created: July 2023 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Dr Jinghua Tang, University of Southampton [ORCID ID: 0000-0003-3359-5891] Date of data collection: March - April 2023 Information about geographic location of data collection: University of Southampton Related projects: NIHR201315 LOad Monitoring and Intervention System (LOMIS) to prevent diabetic foot ulceration -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: The access to data is restricted due to ethical and commercial reasons Recommended citation for the data: J. Tang et al., 2023, Evaluation of in-shoe plantar pressure and shear during walking for diabetic foot ulcer prevention, Journal of Wound Care, In Press This dataset supports the publication: AUTHORS: Jinghua Tang, Dan L Bader, Daniel Parker, Saeed Forghany, Christopher Nester, David Moser, Liudi Jiang TITLE: Evaluation of in-shoe plantar pressure and shear during walking for diabetic foot ulcer prevention JOURNAL: Journal of Wound Care PAPER DOI IF KNOWN: Links to other publicly accessible locations of the data: N/A Links/relationships to ancillary or related data sets: N/A -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: dataset.zip Table 1-Table 6: containing the numerical numbers that used to reproduce the tables Figure 3: containing pressure, ML shear, AP shear and resultant shear used to generate box plot in the accepted manuscript. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Tang J, Bader DL, Moser D, Parker DJ, Forghany S, Nester CJ, Jiang L. A Wearable Insole System to Measure Plantar Pressure and Shear for People with Diabetes. Sensors. 2023; 23(6):3126. People involved with sample collection, processing, analysis and/or submission: Jinghua Tang, Dan L Bader, Daniel Parker, Saeed Forghany, Christopher Nester, David Moser, Liudi Jiang