Wendy Watkins



  • 2006-07-03
    A decade ago, Canadian universities and Statistics Canada embarked on a joint adventure called the Data Liberation Initiative (DLI). While this initiative greatly increased the availability of data for academic research and instruction, it also created new challenges for the librarians and information professionals who were confronted with the task of organizing and supporting access to these resources. This paper will examine the challenges involved in the introduction of data into the traditional academic library. The experience of Canada’s DLI will be used to illustrate the types of issues involved and the approaches used in the Canadian context to address them. The paper will conclude by identifying the best practices that have emerged after a decade of experience in developing, refining and promoting the use of data as a means of strengthening the underpinnings for teaching and research.

  • 2001-04-25
    Some surveys contain multiple units of observation, while others come in many parts. This workshop will give participants hands-on experience using both types of files. The General Social Survey, Cycle 8 and the Canadian Travel Surveys will be used as examples. (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-216.)
    CAPDU/DLI Ontario and Quebec Training, Université de Montréal, Montréal, QC

  • 2002-05-29
    This presentation describes what aggregate data are. This is followed by a computing exercise that demonstrates how to aggregate data with SPSS. (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-217.)
    CAPDU/DLI Ontario Training, University of Toronto, Toronto, ON

  • 2004-03-08
    The content for Data Liberation Initiative (DLI) training workshops was initially seen as consisting of instruction in five areas: data services, data management, data structure, data content, and data analysis & use. Training that addressed management and support activities was envisioned as cutting across these five areas. Since this first curriculum framework, training seems to have been grouped into four primary areas: the administration of DLI and the technical services needed to support this; knowledge of data content; data reference skills; and statistical and data literacy skills. What are the substantive topics and skills to be taught? What are the best practices from our experience with previous workshops that we should follow in the future?
    DLI Train the Trainers Workshop, Université de Montréal, Montréal, QC

  • 2007-01-09
    This presentation explores the hurdles the Scholars Portal Metadata Project is facing and the current situation. The hurdles are access, use and standards. Looking forward the project will now focus on recognizing needs and building on the Scholars Portal model. The presentation also makes a case for adopting metadata standards and establishing a centralized data extraction/analysis system. DINO, Ryerson University, Toronto, ON