Sheffield Hallam University

Sheffield Hallam University Research Data Archive
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    72 research outputs found

    Food Choice and Adolescence

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    The research took a focussed ethnographical approach using Photovoice methods to understand the drivers of food choice in adolescents. Data from the study includes interview and PhotoVoice transcripts and photographs of food environment

    Increasing the reach of the Skills Centre: Implementation and evaluation of interventions expanding the reach to underserved students of the Sheffield Hallam University Skills Centre

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    Patterns of low engagement from underserved students are well documented in Higher Education institutions. This research project aimed to highlight potential barriers to learning to underserved student groups and implement practical changes to practice in order to address these barriers and create a more inclusive environment in which all students feel a sense of belonging

    Davis Cup Ranking paper data and code

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    The data and code used in the research presented in the paper "Using simulations to compare the current Davis Cup ranking system to Elo" MATLAB code and data files, Microsoft Excel data files, Microsoft Access Tables

    Public Engagement and the University through the Lens of the Law School

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    The dataset contains interview transcripts, follow question responses, questions, and participant information sheets. The aim of the related thesis was to develop a framework which sets out public engagement as an act of negotiation, discussion, and creation within universities and between universities and communities

    Autofiction and Blending

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    This data set is a corpus of 80 Goodreads reviews for the autofictional novel Black Wave by Michelle Tea. All available comment-reviews were collected up until the end of January 2021. Reviews were excluded if there was a conflict of interest (e.g. readers disclosed that they were given a free copy by the publisher). Reader identities were anonymised during data collection, using an acronym based on the book’s title and a number

    Standard Squareback models for Aerodynamics and Aeroacoustics Research

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    This data is a collection CAD of various forebody configurations of standard squareback models. All geometries have a standard mirror, the side window, frame; some include A-pillars. All models are identical in the projected frontal area

    Reading Celebrity Autofiction

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    This collection encompasses two data sets of Goodreads reviews: 12 reviews of Re-Run the Fun: My Life as Pat Sharp (Sharp, Richman, and Catterson 2020) and 582 reviews of Memoirs and Misinformation (Carrey and Vachon 2020). The data represents all Goodreads reviews from each novel's 2020 publication date up until the end of January 2021. Reviewer user names have been deleted to anonymise the data. Instead an identifier in the form of an acronym based on the book’s title and a number is used (e.g. RtF1-12; M&M1-582)

    Building solid ground for racial diversity in Geography, Earth & Environmental Sciences postgraduate research

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    This NERC-Funded project set out to improve equity in postgraduate Geography, Earth and Environmental Sciences, through action research interventions. The data in this repository is the (anonymised, non identifiable) survey data obtained as part of the monitoring and evaluation of the project

    A study into the experiences of pre-registration nurses’ use of mental simulation.

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    This is a qualitative, interpretivist interview study undertaken from an inductive, social constructionist perspective. Eleven pre-registration nurses were asked to use the mental simulation protocol three times per week for 4-weeks. At the end of the four weeks, semi-structured interviews were employed to co-construct an understanding of their experiences. This study was carried out using qualitative inductive thematic analysis to search for commonalities in the participants’ experiences. Several themes and sub-themes emerged from their mental simulation journey, which helped answer the research questions

    Investigating students’ perceptions of academic dishonesty, reasons for dishonesty, and what we can do to help them develop academic integrity

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    This project aims to conduct a comparative study of students who study at all the five BTE Departments on their perceptions of academic dishonesty, reasons for dishonesty, and what the College/University can do to help students develop academic integrity. While academic dishonesty has gained currency in recent years, a clearer understanding of what HEIs can do to reduce student cheating and instil academic integrity has not yet been reached (Egan, 2018). The recent upsurge in academic misconduct in BTE/SHU presents an increasing challenge to the academic integrity of our degrees. Developing assessments that assure academic integrity is now included as one of the Five Features of Assessments in the SHU LTA Framework. This project seeks to inform the policy development on how BTE/SHU can tackle the sharp rise in academic misconduct and support the development of innovative LTA practices that promote academic integrity in students

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    Sheffield Hallam University Research Data Archive is based in United Kingdom
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