Here is as clear a mission statement for this blog as you are going to get:
Delimiter Z will explore how librarians use data to understand audiences and improve services.
What does that specifically mean? I don’t know. We’ll see.
To start, I’ve written brief summaries of a few articles and reports that have been influential in my work over the past six months or so.
Pip Christie. “Are Librarians Becoming Data Analysts?” Vable (2016).
Christie points to potential opportunities librarians have to market themselves as data analysts and discusses ways to use data analysis tools to one’s advantage. Useful from the perspective of identifying ways librarians can put their skills to use in new ways.
Mahesh Kelkar, et al. “Data-driven Decision Making In Government.” Deloitte Center for Government Insights (2016).
A team from Deloitte Center for Government Insights describes best practices in U.S. government data-driven decision-making and outlines techniques government offices can use to improve their analytics capabilities. Really nice report that offers a thoughtful road map for building program evaluation capacity.
Bill Pardi. “If You Want to Be Creative, Don’t Be Data Driven.” Microsoft Design (2017).
Pardi discusses potential problems with being too reliant on data to drive decision-making. Reminiscent of Darrell Huff’s “How to Lie with Statistics.”