S2: Data curation and its role in supporting integration and interoperability
Data curation and its role in supporting integration and interoperability
The etiology of most chronic diseases points to complex interactions between genetic and environmental factors. There is an enormity of available data from legacy traditional toxicology studies to more recent high-throughput screening efforts that span population-based and diverse experimental systems to provide clues into the complexity of environmental influences on human health. Increasingly, efforts are underway in many interdisciplinary areas of biomedical research to leverage, share, and integrate diverse data sets to improve our understanding and modeling of biological complexity. However, the absence of community-driven and implemented semantic standards, such as structured ontologies, presents significant challenges for these efforts. There is a critical need for developing rigorous community- and data-driven standards to facilitate research programs, understanding of exposure-influenced diseases, and ultimately help to inform risk assessment and regulatory initiatives. This presentation will discuss many environment-relevant standards, current applications in the area of data curation (both manual and other), and how these efforts can be used to advance integration and interoperability of diverse data.