Do you ever help students or faculty with data? Does that work involve helping them to understand:
- How to find and interpret data?
- How to be a critical consumer of data?
- How to be an ethical producer of data?
- What it means to decolonize data?
- Why it’s important to document and share research data?
- Any other form of data literacy?
Then you are invited and encouraged to submit chapter proposals for an upcoming book to be published by ALA Editions, tentatively titled Teaching Critical Thinking with Numbers: Data Literacy and the Framework for Information Literacy for Higher Education. Each chapter should be between 4,000 and 6,000 words, and should include a discussion of the ways in which you and/or your colleagues and institution are incorporating data literacy into your work. Possible topics for these case studies could include, but are not limited to, methods for incorporating data literacy into information literacy instruction, experiences promoting data literacy in digital scholarship projects, or strategies for getting community buy-in for data literacy across your institution. If you have any questions about a topic you are considering, you are encouraged to reach out to Julia Bauder (email@example.com) to discuss it before submitting a full proposal.
To submit a proposal, please e-mail the following to firstname.lastname@example.org by February 3, 2020:
- An approximately 400-word summary of the proposed chapter.
- For each author:
- Name, institution, and current title.
- A list of previous publications.
- If no previous publications, please include or link to a writing sample.
February 3, 2020: Chapter proposals due.
February 21, 2020: Authors notified of acceptance of chapter proposals.
July 1, 2020: Chapter drafts due.
August 14, 2020: Chapter drafts returned to authors for revisions.
October 17, 2020: Chapter revisions due.
Thank you for considering submitting a proposal. Please, if you have any questions, don’t hesitate to reach out to me.
Julia Bauder, editor, Teaching Critical Thinking with Numbers: Data Literacy and the Framework for Information Literacy for Higher Education