"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. Through a thematic analysis, we observe differences regarding the included contents, the length and abstraction of messages, and the sensemaking process between and among the participant groups. On average, experts formulated shorter and more abstract messages, often referring to higher-level conclusions rather than specific details. We use our findings to reflect on design decisions for creating more effective visualizations, particularly in news media sources geared toward lay audiences. We hereby discuss the adaption of contents according to the needs of the audience, the trade-off between simplification and accuracy, as well as techniques to make a visualization attractive.

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. SAMPLE: Of the 933 patients with diabetes who consented at baseline, 398 (42.66%) returned during the follow-up period for a visit that included Hemoglobin A1c (HbA1c) results. INTERVENTION: Integrated social medicine approach that includes food insecurity screening, nutrition education, and assistance accessing food resources as a standard-of-care practice designed to minimize disruptions in how patients and providers experience medical care. MEASURES: HbA1c collected as part of a standard blood panel. ANALYSIS: Repeated-measure, mixed-effect linear regression models. RESULTS: There was a decrease in mean HbA1c (Δ = -0.22, P = 0.01) over the study period. The model examining change over time, glycemic control (GC), and food security status (F1, 352 = 5.80, P = 0.02) indicated that among participants with poor GC (33.12%), food secure (FS) participants exhibited significantly greater levels of improvement than food insecure (FI) participants (Δ = -0.55, P = 0.04). Among participants with good GC, changes in HbA1c were not significantly different between FS and FI participants (Δ = 0.23, P = 0.21). CONCLUSION: Providing nutrition education and food assistance improved HbA1c profiles among FS and FI participants, but FI participants may face social and structural challenges that require additional support from health care teams.

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. The data detailed in this paper have the potential to be reused to inform the development of data discovery systems, data repositories, training activities and policies for a variety of general and specific user communities.

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.