Abstract IA08: Improving researcher accessibility to publicly available data through creative integration, geospatial visualization, and open data portals
Authors: Thompson Caroline A. , Tsou Ming-Hsiang 
Published: June 2022

Abstract
The increased accessibility of population-level data made available by the government and public health and consumer agencies provides a unique opportunity for integrative data analysis, spatial visualization with much higher resolution to identify clusters of disease, and their correlation with geospatial, socioeconomic, and demographic predictors. However, interactive mapping and spatial analysis tools are underutilized by health researchers and decision-makers as a result of scarce training materials, few examples demonstrating their successful use, and poor mechanisms for sharing results generated by geovisualization. Further, in the wake of massive amounts of new data and analytical tool availability, consumers of cancer population health data, such as academic researchers and public health practitioners, are facing an ongoing transformation of practice resulting in the need for effective collaboration and sharing of resources within and across disciplinary and geographic boundaries. In this talk we will summarize three of our ongoing projects that leverage web-based technologies with the aim to reduce barriers to data sharing, promote simultaneous analysis of multiple datasets, and enable geovisualization of cancer outcomes and their interrelationships with social and spatial factors. The Disentangling Disparities Data Warehouse, or D3W, is a population-based data resource that includes geotagged California Cancer Registry data linked to census, American Community Survey, and other curated sources of neighborhood-level contextual and environmental data. The D3W allows ecologic and/or multilevel statistical analysis and supports sophisticated analysis of the spatial dynamics of cancer in California. The HealthWebMapper is a highly interactive data visualization tool with a simple two-tier web geographic information systems (GIS) framework. This dynamic web GIS/mapping tool was created with open-source JavaScript library, Leaflet, and free web authoring tools (bootstrap, jquery, and Google Chart) to provide user-friendly maps and data-mining functions, including multiple classification methods, correlation analysis, data export, and side-by-side displays. HealthWebMapper is an open source application and available via a public Github repository, and it can be easily installed on any website without specialized GIS servers or databases. Finally, to promote ease of access to the D3W and HealthWebMapper as well as other research data resources, we are developing the Health Data Open Analytic Portal, with support from the newly established NIH-funded HealthLINK Center for Population Health and Health Disparities Research at San Diego State University. The key functions of the open data portal are to archive, manage, download, and integrate disease, environmental, socioeconomic, and health behavior data. The data portal will enable the sharing, archiving, and learning of research procedures and health data resources. The searchable and downloadable data portal will also provide comprehensive research investigator profiles and online training materials to facilitate transdisciplinary research collaborations in cancer population health and beyond.
Citation Format: Caroline A. Thompson, Ming-Hsiang Tsou. Improving researcher accessibility to publicly available data through creative integration, geospatial visualization, and open data portals [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA08.