What Google Maps can do for Biomedical Data Dissemination: Examples and a Design Study

Background: Biologists often need to assess whether unfamiliar datasets warrant the time investment required for more detailed exploration. Basing such assessments on brief descriptions provided by data publishers is unwieldy for large datasets that contain insights dependent on specific scientific questions. Alternatively, using complex software systems for a preliminary analysis may be deemed as too time consuming in itself, especially for unfamiliar data types and formats. This may lead to wasted analysis time and discarding of potentially useful data. Results: We present an exploration of design opportunities that the Google Maps interface offers to biomedical data visualization. In particular, we focus on synergies between visualization techniques and Google Maps that facilitate the development of biological visualizations which have both low-overhead and sufficient expressivity to support the exploration of data at multiple scales. The methods we explore rely on displaying pre-rendered visualizations of biological data in browsers, with sparse yet powerful interactions, by using the Google Maps API. We structure our discussion around five visualizations: a gene co-regulation visualization, a heatmap viewer, a genome browser, a protein interaction network, and a planar visualization of white matter in the brain. Feedback from collaborative work with domain experts suggests that our Google Maps visualizations offer multiple, scale-dependent perspectives and can be particularly helpful for unfamiliar datasets due to their accessibility. We also find that users, particularly those less experienced with computer use, are attracted by the familiarity of the Google Maps API. Our five implementations introduce design elements that can benefit visualization developers. Conclusions: We describe a low-overhead approach that lets biologists access readily analyzed views of unfamiliar scientific datasets. We rely on pre-computed visualizations prepared by data experts, accompanied by sparse and intuitive interactions, and distributed via the familiar Google Maps framework. Our contributions are an evaluation demonstrating the validity and opportunities of this approach, a set of design guidelines benefiting those wanting to create such visualizations, and five concrete example visualizations.

Perceptions and experiences of intimate partner violence among Hispanic college students

Intimate partner violence (IPV) is recognized as a serious, growing problem on college campuses. IPV rates among college students exceed estimates reported for the general population. Few studies have examined the impact of IPV among the Hispanic college student (HCS) population or explored how HCSs perceive and experience IPV. Focusing on young adults (ages 18 to 25 years), this mixed methods study was designed to explore the perceptions and experiences of IPV focusing on levels of victimization and perpetration in relation to gender role attitudes and beliefs, exposure to parental IPV, acculturation, and religiosity. A sample of 120 HCSs was recruited from two south Florida universities. A subsample of 20 participants was randomly selected to provide qualitative responses. All participants completed a series of questionnaires including a demographic survey, the FPB, CTS2-CA, SASH, ERS and CTS2. Bivariate correlational techniques and multiple regressions were used to analyze data. Marked discrepancy between participants' perceived experience of IPV (N = 120) and their CTS2 responses (n = 116, 96.7%). Only 5% of the participants saw themselves as victims or perpetrators of IPV, yet 66% were victims or 67% were perpetrators of verbal aggression; and 31% were victims or 32.5% were perpetrators of sexual coercion based on their CTS2 scores. Qualitative responses elicited from the subsample of 20 students provided some insight regarding this disparity. There was rejection of traditional stratified gender roles. Few participants indicated that they were religious (20.8%, n = 25). Evidence for the theory of intergenerational transmission of violence was noted. Recall of parental IPV was a significant predictor of level of IPV victimization (β = 0.177, SE = 0.85, p = 0.041). Nursing and social service providers must be cognizant that contributing factors to either victimization and/or perpetration of IPV among college students must be addressed first (i.e., perceptions of IPV), both in acute (i.e., emergency department) and community (i.e., college and university) settings for optimum intervention outcome.