Data Literacy

FlowingData explores how statisticians, designers, data scientists, and others use analysis, visualization, and exploration to understand data and ourselves. It is maintained by Nathan Yau, PhD in statistics from UCLA.

Discusses data visualization roles at the University of Michigan Library: 1. Bioinformationist at the Taubman Health Sciences Library, 2. Visualization Librarian at the University of Michigan Library, and
3. Advanced Visualization Specialist at the University of Michigan’s 3D Lab.

A brief video by Paul Hewson on why we should teach statistical literacy. The video is well drawn, but the voice and music make listening challenging. It is just under 3 minutes long.

This is an opinion piece in the New York Times that discusses numbers as a language in which we need to be fluent.

This article describes the data rescue movement. It's an effort by people at universities to archive government data related to climate change, and now possibly geospatial information on community racial disparities or disparities in access to affordable housing.

A popular news website highlighting: Politics, Sports, Science & Health, Economics, and Culture. Articles often include statistical information and charts.

The Research Data Curation Bibliography covers topics such as research data creation, acquisition, metadata, provenance, repositories, management, policies, support services, funding agency requirements, open access, peer review, publication, citation, sharing, reuse, and preservation.

The Data Curation Network is a Sloan-funded project that aims to conceptualize and develop a “network of expertise” model for U.S. academic libraries to collectively provide data curation services to support digital research data deposit into repositories for open access and reuse. The project launched in May 2016.

Dataset Search lets you find datasets wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Still in Beta.