1,789,690 research outputs found

    University of Edinburgh Art Collection

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    The University of Edinburgh Art Collection supports the world-leading research and teaching that happens within the institution. Comprised of an astonishing range of objects and ideas spanning two millennia and a multitude of artistic forms, the collection reflects not only the long and rich trajectory of the University, but also major national and international shifts in art history. The collection has particular strengths in Portraiture (specifically images of notable alumni and teaching staff), 17th Century Dutch and Italian works, as well as rich holdings of Modern Scottish art. The University remains active in acquiring and commissioning art for campus, and is developing contemporary holdings rooted in the theme of globalisation, with a specific focus on women's experience and the contribution of feminist thought. For more information please see www.ed.ac.uk/is/crc or email [email protected]

    Debates on slavery and abolition held by student debating societies at the University of Edinburgh, 1765-1870

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    This dataset compiles information relating to debates on slavery and abolition held by two student debating societies at the University of Edinburgh – the Dialectic Society (est. 1787) and the Speculative Society (est. 1764) – between the years 1765 and 1870. The dataset has been produced using published histories of the two student societies and the administrative records of the Dialectic Society (equivalent archival records for the Speculative Society have not been located): History of the Dialectic Society (1887); History of the Speculative Society of Edinburgh from its Institution in 1764 (1845); and Records of University of Edinburgh Dialectic Society, EUA GD9, Edinburgh University Library Archives. Data includes the debates' dates, titles, and outcomes (i.e. affirmative or negative, and the number of votes either way); and attendees’ names, positions taken during debates and additional information on their backgrounds and post-university careers. This dataset has been produced for the Decolonised Transformations project (2022-24), part of the University of Edinburgh’s Race Review, and forms the basis of a forthcoming historical study by the data depositor, Dr Simon Buck. Users should be aware that this dataset draws from historical sources meaning it contains both racist language and offensive ideas about people of African descent.University of Edinburgh Dialectic Society debates on slavery and abolition, 1792-1870.xlsx This data tabulates information relating to University of Edinburgh Dialectic Society debates on slavery and abolition for the period 1792-1870, using History of the Dialectic Society (1887) and Records of the University of Edinburgh Dialectic Society (EUA GDP, Edinburgh University Archives). University of Edinburgh Speculative Society debates on slavery and abolition, 1765-1838.xlsx This data tabulates information relating to University of Edinburgh Speculative Society debates on slavery and abolition for the period 1765-1838, using History of the Speculative Society (1845)

    Directory of collections, the University of Edinburgh /

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    The University of Edinburgh holds one of the world's greatest collections, including rare books, archives and manuscripts, art, historical musical instruments and museum objects ranging from geological specimens to anatomical models. Curated by specialist staff across 45 different sites within the University, the collections are used for teaching, research and by the wider community. Both a practical route map through the collections and a showcase for the beautiful and surprising objects they contain, The directory of collections gives an overview of the rich variety of the cultural assets held by the University of Edinburgh.Floral illustrated lining papers.Includes bibliographical references and index.The University of Edinburgh holds one of the world's greatest collections, including rare books, archives and manuscripts, art, historical musical instruments and museum objects ranging from geological specimens to anatomical models. Curated by specialist staff across 45 different sites within the University, the collections are used for teaching, research and by the wider community. Both a practical route map through the collections and a showcase for the beautiful and surprising objects they contain, The directory of collections gives an overview of the rich variety of the cultural assets held by the University of Edinburgh.Van Peteghem, Sylvi

    DSpace at the University of Edinburgh (Life after CRIS)

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    This presentation was given by Claire Knowles of the University of Edinburgh at RepoFringe 2016 opening a panel discussion: "Sustaining content and collections: open educational resources, open access, open data". It deals with the sustainability of publications repositories and data repositories by looking at examples of DSpace repositories at the University of Edinburgh

    I-Walk

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    The video, stills and audio materials of this data item are associated with the video walk "I-Walk" - produced by Jungenfeld at the I-Park Foundation Inc., Connecticut (USA). All the data were collected and the video walk produced in December 2012 during an artist residency at I-Park. The video walk and installation were presented at I-Park during the December Open Studios event. The visual content was produced in I-Park premises. The sound recording for the audiovisual installation was recorded in the Piano Field Trail, while playing an old-rusty piano frame outdoors. The research outcomes were presented at a PhD Student Symposium as part of the Andrew Carnegie Lecture Series (ECA, University of Edinburgh, 2014) and at the 5th International & Interdisciplinary Conference on Emotional Geographies, University of Edinburgh (2015). The video content was later re-used in 2013 (Jan-Feb) to test how participants engaged with projections during a series of projection tests in Edinburgh.This data item contains the following files: 1_I-walk_video-walk_lowRes.mp4 (video file for portable projector), 2_I-Walk_video-walk.mov (video file for portable projector - highRes), 3_I-Walk_video-documentation.mov (documentation of video walk project - 2012), 4_I-Walk_video-installation.mov (video file for audiovisual installation - highRes), 5_I-Walk_stills.zip (still images from video walk), 6_I-Walk_audio.wav (audio file - mono), and 7_I-Walk_maps.zip (map outlining video walk)

    Anonymised results of the 2022 University of Edinburgh Research Culture Survey

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    Anonymised results of the 2022 University of Edinburgh Research Culture Survey. Research active institutions can be considered as having a “research culture”, which helps frame the expectations and actions of members of their research communities. Some aspects of some research cultures may be detrimental to researcher productivity and to their liver experience of research. Institutional efforts to improve research cultures are important, but would require some ability to assess the features of an existing research culture, and to track changes over time. The questions deployed have in some cases been changed from the 2020 survey (also available in Datashare); and the Question ids provided in the data dictionary are consistent: although the question numbering in the question text descriptor may be different.Data dictionary available in this collectio

    Classifying Gender Biased Language in University of Edinburgh Heritage Collections Archival Metadata Descriptions

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    These datasets were used to create discriminative text classification models to identify potentially gender biased language. There are datasets for three types of classification models: multilabel document classifiers, multiclass sequence classifiers, and multilabel token classifiers. The data source is the Archives catalog of the University of Edinburgh's Heritage Collections. The archival metadata descriptions extracted from the catalog were labeled according to the Taxonomy of Gendered and Gender Biased Language (published in Havens et al., 2021, linked to as a related paper). Details of the datasets' creation and contents are documented in the Ph.D. thesis by Lucy Havens titled, "Recalibrating Machine Learning for Social Biases: Demonstrating a New Methodology through a Case Study Classifying Gender Biases in Archival Documentation," as well as the related papers and GitHub repositories linked to this record.inventory.tx

    Scoping Statistical Analysis Support

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    The aim of this survey was to collect feedback about existing training programmes in statistical analysis for postgraduate researchers at the University of Edinburgh, as well as respondents’ preferred methods for training, and their requirements for new courses. The survey was circulated via e-mail to research staff and postgraduate researchers across three colleges of the University of Edinburgh: the College of Arts, Humanities and Social Sciences; the College of Science and Engineering; and the College of Medicine and Veterinary Medicine. The survey was conducted on-line using the Bristol Online Survey tool, March through July 2017. 90 responses were received. The Scoping Statistical Analysis Support project, funded by Information Services Innovation Fund, aims to increase visibility and raise the profile of the Research Data Service by: understanding how statistical analysis support is conducted across University of Edinburgh Schools; scoping existing support mechanisms and models for students, researchers and teachers; identifying services and support that would satisfy existing or future demand

    A Decade of Progress: Insights of Open Data Practices in Biosciences at the University of Edinburgh

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    The realm of scientific research has evolved beyond traditional publications, recognizing the intrinsic value of the underlying data as a fundamental component. In this context, Open Data emerges as a pivotal element of open research culture, embodying the principles of transparency, collaboration, and resource optimization. This poster critically analyses the progress and current standing of the University of Edinburgh in embracing and implementing open data practices. The University of Edinburgh, a vanguard in academic research, has been instrumental in advocating the Culture of Open Data. This paradigm shift in research methodology, accentuated by the introduction of the new open research policy in 2021, has placed a significant emphasis on the openness and FAIRness (Findability, Accessibility, Interoperability, and Reusability) of research data. This poster will explore the strides made by the biosciences researchers over the past ten years in aligning with these principles. Our analysis begins with a review of biosciences research between 2014 and 2022. Approximately 6% (193 papers) of the published papers during this period were subjected to a manual assessment of their data-sharing practices. Unlike Roche et al. (2013), who sampled from a publication list where each article had some data archived, this study involved selecting articles while being blinded as to whether any data was shared. This evaluation was grounded in four main criteria reflecting the Openness and FAIRness of research data: Completeness, Reusability, Accessibility, and Licencing. The findings from this analysis reveal a positive trajectory, indicating an overall enhancement in these criteria over the years. Notably, there has been a discernible increase in the completeness of data shared in publications, coupled with significant improvements in the reusability aspect. This suggests that researchers are not only sharing more data but are doing so in a more effective and user-friendly manner. Interestingly, the study unveils a disparity in data-sharing practices within different types of research data. Genome data, for instance, was shared more frequently compared to image data. Furthermore, the presence of a data availability statement or the sharing of preprint papers correlated with higher scores across all the four criteria, particularly in terms of completeness. This correlation underscores a more thorough approach to data sharing when specific guidelines or practices are in place. In conclusion, this poster will not only highlight the progressive journey of Biosciences at The University of Edinburgh towards embracing open data but will also address the challenges and lessons learned along the way. The concluding segment will focus on the best practices that researchers should adopt to continue this upward trend in Open Data Sharing

    University of Edinburgh Telephone Survey

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    Between 21 January and 10 February 2013, a survey was conducted regarding the University’s current usage of and future requirements for its telephone system. The survey was aimed at telephone system users, assumed to be almost exclusively University staff. The survey was advertised (with the help of Communications and Marketing) using a single email message to the University’s “all staff” list. This dataset contains the raw survey data and a pdf document that analyses the results and discusses implications for the future of the University’s telephone provision.This dataset consists of a spreadsheet in csv format composed of 32 questions/columns and 1289 anonymised respondent-replies/rows ('AnonymisedData_TelephoneSurvey_ChrisAdie.csv') and a survey report in pdf format created February - March 2013 ('Report_PaperB_TelephoneSurvey_ChrisAdie.pdf')
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