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Comfort Levels and Training Opportunities

The document highlights the essential competencies required by data professionals in academic libraries, focusing on their roles in the Data Library Initiative (DLI) in Ontario. It aims to establish a common language for discussing knowledge, skills, abilities, and qualities while identifying training priorities. The framework addresses various comfort levels, encourages personal development, and promotes structured training across diverse service contexts. This comprehensive approach ultimately seeks to enhance individual competencies, facilitate engagement with library leaders, and adapt training for optimal growth.

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Comfort Levels and Training Opportunities

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  1. Comfort Levels and Training Opportunities DLI Ontario Training April 2010

  2. What? • Data Professionals Competencies are the essential knowledge, skills, abilities, and qualities that are required of DLI contacts in academic libraries today.

  3. Why? • Provide common language for the knowledge, skills, abilities and qualities potentially required of data professionals • Help identify priorities for training and new areas to cover • Provide balanced training across levels of service, size of institution, and requirements of individual jobs • Help individuals to create personal development plans and goals in a more formal fashion • Help data professionals to articulate and communicate the value of DLI training to their institutions in a more formal way

  4. More Advantages • Provide a framework for conversations with library and academic leaders regarding levels of service, staffing and professional development needs • Assist those new to the DLI or new to data duties with a framework for learning in the field and to help track progress over time • Assist with planning DLI orientation for new contacts

  5. Training Implications • Different levels of service require different competencies • Develop skills in increasing levels of complexity • Provide growth opportunities for everyone • Ensure adequate community support for smaller institutions • Tailor the training program so that everyone grows • Involve new people and ideas from outside regions in regional training • Explore internships, mentors, lists of experts • Work with IASSIST and CAPDU to develop national and international training

  6. Competencies Listing (Q45) • Using and interpreting data documentation • Finding and retrieving microdata • Finding and retrieving aggregate statistics • Finding and retrieving geography files • Using statistical software to create a software specific format file (.sas, .spss, .por, etc.) • Using statistical software to manipulate variables

  7. Competencies Listing (Q45) • Statistical and data literacy • General knowledge of surveys in the DLI Collection • Knowledge of products in the DLI Collection • General knowledge of the Census • Knowledge about data outside of the DLI Collection • Responding to data questions

  8. Relative comforts

  9. Top 5 Comfort Levels for Ontario(% Very competent and somewhat competent)

  10. Relative Discomforts“I don’t know my PUMF from my dummy variables and I’m feeling a bit synthetic”

  11. Bottom 5 Comfort Levels for Ontario (% Very competent and competent)

  12. Additional Competencies/Comforts(from Train the Trainers, February 2010) • Statistical/data literacy – clarification of definition needed? • Understanding of the data life cycle • Understanding of the production of statistics (relation of statistics to data) • Understanding of the presentation of statistics and how to get to the sources • Competence vs. confidence vs. comfort

  13. Additional Competencies/Comforts(from Train the Trainers, February 2010) • Understanding Statistics Canada organizational structure/philosophy and DLI service model philosophy • Basic knowledge of continuum of access to Statistics Canada resources • Defining, evaluating, and reviewing levels of data service

  14. Additional Competencies/Comforts(From Train the Trainers, February 2010) • Collection management skills • Promotional skills (and managing expectations • Pedagogical skills • Technical skills to support and deliver digital objects in data services • Includes file management skills • Broaden “using statistical software to create a software specific format file” to include GIS

  15. So, what are we doing this year? • Knowledge about data outside the DLI Collection • Health Measures Survey • General knowledge of surveys in the DLI Collection • CCHS • Understanding Statistics Canada organizational structure/philosophy and DLI service model philosophy • DLI Update

  16. So, what are we doing this year? • Promotional skills (and managing expectations) • Lightning Talk: Presentation to UWO RDC • Technical skills to support and deliver digital objects in data services • Lightning Talk: SDA in 2010 • Pedagogical skills • Lightning Talk: Jing • Understanding of the data life cycle • RDM Seminar

  17. More things we heard... • Similar issues throughout all regions • Need to share resources/information among regions (National training only once every 4 years) • How? • DLI training repository? • Other repository? • Webinars?

  18. How YOU can help! • Have good ideas? Training materials? Screen captures? • Post them...share them... • Offer to lead a session at future DLI training events • Give a presentation on your favourite non-StatCan dataset or data series (elections, public opinion, international data, the list is endless) • Give us feedback!! Let us know!!

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