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Integrated digital human modeling has seen increased interest over the last decade. We describe two efforts to develop computational frameworks for digital human modeling and describe the progress toward understanding the requirements for implementation. Both projects addressed data repository, computational environment , and visualization of results. But(More)
Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique(More)
The increase of the complexity and advancement in ecological and environmental sciences encourages scientists across the world to collect data from multiple places, times, and thematic scales to verify their hypotheses. Accumulated over time, such data not only increases in amount, but also in the diversity of the data sources spread around the world. This(More)
Ecological and environmental sciences have become more advanced and complex, requiring observational and experimental data from multiple places, times, and thematic scales to verify their hypotheses. Over time, such data have not only increased in amount, but also in diversity and heterogeneity of the data sources that spread throughout the world. This(More)
The rapid growth of diverse data types and greater volumes available to environmental sciences prompts the scientists to seek knowledge in data from multiple places, times, and scales. To facilitate such need, ONEMercury has recently been implemented as part of the DataONE project to serve as a portal for accessing environmental and observational data(More)
Modeling and simulation have great potential as technologies capable of aiding analysts in making accurate predictions of future situations to help provide competitive advantage and avoid strategic surprise. However, to make modeling and simulation effective, an evidence-marshaling process is needed that addresses the information needs of the modeling task,(More)
Linked Science is the practice of interconnecting scientific assets by publishing, sharing and linking scientific data and processes in end-to-end loosely coupled workflows that allow the sharing and re-use of scientific data. Much of this data does not live in the cloud or on the Web, but rather in multi-institutional data centers that provide tools and(More)
Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate root causes, and attempt to predict failures. But well-understood methods and best practices for collecting reliability data in a uniform way are still lacking, which impedes(More)
In this paper we describe the use of keyword extraction in a data management platform for the storage, publication, and sharing of scientific and engineering datasets primarily related to the stress of concrete structures under earthquake conditions. To improve discoverability of datasets and assist scientists who upload data, we designed an automated(More)