Fostering the data innovation pipeline: NSF, USGS, and opportunities for cross-agency partnership supporting data-driven science and mission success, Raleigh Martin, NSF
The U.S. National Science Foundation (NSF) continues to make new and sustaining investments in capabilities for managing, processing, and analyzing data to support scientific research and education. In NSF’s Directorate for Geosciences (GEO), these investments include data repository services, data analysis tools, and data-driven methods development (including artificial intelligence) to advance understanding of the Earth System. NSF investments in geoscience data capabilities often provide additional benefit to the missions of other federal agencies, including USGS. Conversely, agencies like USGS offer a direct pathway to societal impact that can help motivate NSF investments in use-inspired science and technology. This talk will explore the power of partnerships across NSF, USGS, and other federal agencies to address data needs to heighten mission and societal impact.
Earth Science Information Partners, Susan Shingledecker, ESIP
In this session we will dive into the power of knowledge graphs, which model data as interconnected entities and relationships. By representing data in this way knowledge graphs offer a more precise and dynamic reflection of real-world systems. We’ll explore how to create, visualize, and analyze these graphs and how they can be combined with tabular and spatial data to unlock deeper insights. A key focus will be on ArcGIS Knowledge, demonstrating how it supports advanced knowledge graph workflows, promotes interoperability, and provides access to knowledge graphs through the web, enabling powerful collaboration and sharing. The session will also feature a hands-on component where participants will engage in pollution monitoring in the Chesapeake Bay using the web app Knowledge Studio, showcasing the practical application of these concepts in action. By the end of the session, attendees will be equipped with the knowledge and skills to integrate and apply these powerful tools to their own workflows, ultimately driving more effective and collaborative decision-making.
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This session provides a comprehensive overview of the evolving landscape of Advanced Scientific Computing (ASC) within the USGS, highlighting critical resources and opportunities. Attendees will receive updates on the current and future status of USGS supercomputers, including enhancements in performance and capacity to meet growing computational demands. The session will also explore data movement and storage solutions, focusing on improving efficiency, scalability, and accessibility for researchers.
In addition, participants will learn about advancements in cloud-based ASC, emphasizing its role in complementing on-premise resources and enabling flexible, scalable, and innovative research workflows. Finally, the session will give attendees insight into other topics related to ASC including governance, training opportunities, and the ongoing research of new technologies. This session is ideal for anyone looking to understand and leverage USGS computational resources to advance their scientific endeavors.
Stuart Wilson Title – Intro to CHS Enterprise Alteryx: How we got here, and where we are now Abstract Join us for an engaging overview of the CHS journey with Alteryx, from its origins as a pilot program to the launch of the new Enterprise environment. This talk will explore the evolution of Alteryx at CHS, highlighting the pivotal moments that shaped its adoption and development. Attendees will gain insights into the robust capabilities of Alteryx Gallery, including how it can streamline workflows, foster collaboration, and empower users to unlock the full potential of their data. Whether you're new to Alteryx or looking to expand your knowledge, this session will provide the foundational steps to get started and leverage the Enterprise environment effectively.
Chuck Hansen Title - Automate your data life for fewer errors, less stress, and better science. Abstract Alteryx can be used to easily automate nearly any data workflow or task that is regularly completed manually or with code. The automations can be scheduled to run at any interval desired, and can improve the reproducibility of scientific analyses, feed data to visualizations, or simply take the pain out of your daily tasks. I will demonstrate a few Alteryx flows that have changed my work life and have had a large impact on the organization and our capability for real-time operations and science.
Ed Reeves Title - EVSS Vulnerability Management Dashboard: Interactive Reporting with Tableau and Alteryx Abstract This dashboard integrates data from multiple sources, including Tenable, BigFix, Active Directory, and inventory systems, to provide a comprehensive view of IT vulnerabilities. Leveraging the power of Alteryx for data preparation and Tableau for dynamic visualization, this solution enables interactive, real-time insights tailored to the needs of IT centers. Key features include streamlined reporting, enhanced data integration, and actionable insights to prioritize and address vulnerabilities effectively. By sharing this system across centers, we aim to foster collaboration, improve decision-making, and strengthen overall IT security posture. This presentation will demonstrate how the dashboard simplifies complex data, enhances visibility, and supports proactive vulnerability management.
Andrew Rogers Title – Demonstrating API Calls and JSON Parsing in Alteryx Abstract Unlock the power of APIs and JSON within Alteryx in this hands-on demonstration. This talk will guide attendees through the process of making API calls directly in Alteryx workflows, retrieving data from external sources, and parsing JSON to extract valuable insights. Whether you're looking to integrate external systems, automate data retrieval, or handle complex JSON structures, this session will provide practical tips and techniques to enhance your Alteryx skills and take your workflows to the next level. Ideal for those eager to expand their capabilities and explore dynamic data integration!
Q&A Session to ask questions about what was demonstrated.
Hi all! I'm a science data manager at the U.S. Geological Survey, within the Science Analytics Synthesis program, and the Science Data Management branch. I manage the USGS Data Management Website and serve a core member of teams managing ScienceBase data release, the USGS Model Catalog... Read More →