Michelle Edwards



  • 2008-05-28
    In Ontario, there is a movement afoot to mark up surveys in DDI and put them in an interface that allows them to be shared with other universities. A noble exercise, indeed! Our project, (Ontario Data Documentation, Extraction Service and Infrastructure Initiative) provides university researchers with unprecedented access to a significant number of datasets in a web-based data extraction system. Access to the data with its accompanying standardized metadata is key to our project. However, the staff marking up these surveys do not necessarily think alike, so the formats used in marking up the surveys can and do vary across institutions. And this is taking place in only one province so this begs the question of what the formatting looks like when the marking up is done nationally. In this presentation, we will discuss the five Ws of a Best Practices Document: why we need one; when it happened; where it was put together; what the process was; and who will benefit from it.
    IASSIST 2008, Carleton University, Ottawa, ON

  • 2007-05-16
    Michelle Edwards looks at the development of DDI in Ontario from the beginning stages to the ideal future. Edwards explains DDI as a puzzle, with all the pieces coming together to form a central dissemination point for universities with quality metadata, essentially 'one-stop shopping'.
    IASSIST 2007, McGill University, Montreal, QC

  • 2005-04-12
    How many times have you shown students how to download data or how to create a cross-tab? Wouldn't it be great to be able to point students to an accessible webpage with step-by-step visual instructions? This workshop will walk you through an example of how to create a Viewlet with Qarbon's Viewlet Builder software, providing you with the tools to create your own Viewlets for your community's needs.
    CAPDU/DLI Ontario Training, Queen's University, Kingston, ON

  • 2004-04-29
    Brève présentation des raisons pour lesquelles nous voulons inclure les données numériques et géospatiales dans le curriculum des étudiantes et étudiants. Comment les données numériques et géospatiales pourraient-elles être utilisées ou quelle vision avons-nous de leur usage au sein de la communauté universitaire? Les différents moyens utilisés à l'Université Guelph pour répondre aux besoins des étudiantes et étudiants des 1er, 2e et 3e cycles, des chercheurs et du personnel enseignant avec les données de l'IDD (ateliers pratiques de formation, démonstrations en classe, aide à l'usager, sensibilisation du personnel enseignant, etc.).
    Atelier IDD/CREPUQ, Université de Montréal, Montréal, QC

  • 2007-01-01
    Edwards defines numeracy and why it is important in post-secondary institutions. Her presentation details initiatives at the University of Guelph that focus on improving students' numeracy and quantitative reasoning skills. Such initiatives include the Learning Enhancement Fund and the Numeracy and Quantitative Reasoning Repository.