"Being Simple on Complex Issues" - Accounts on Visual Data Communication About Climate Change.

Data visualizations play a critical role in both communicating scientific evidence about climate change and in stimulating engagement and action. To investigate how visualizations can be better utilized to communicate the complexities of climate change to different audiences, we conducted interviews with 17 experts in the fields of climate change, data visualization, and science communication, as well as with 12 laypersons. Besides questions about climate change communication and various aspects of data visualizations, we also asked participants to share what they think is the main takeaway message for two exemplary climate change data visualizations.

Foods for Health: An Integrated Social Medical Approach to Food Insecurity Among Patients With Diabetes.

Purpose: Examine a clinic-based approach to improve food security and glycemic control among patients with diabetes.

Design: One-group repeated-measures design.

Setting: Federally Qualified Health Centers in a large Midwest city.

A dataset describing data discovery and reuse practices in research.

This paper presents a dataset produced from the largest known survey examining how researchers and support professionals discover, make sense of and reuse secondary research data. 1677 respondents in 105 countries representing a variety of disciplinary domains, professional roles and stages in their academic careers completed the survey. The results represent the data needs, sources and strategies used to locate data, and the criteria employed in data evaluation of these respondents.

Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines.

A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.