Confluence Retirement

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is scheduled for retirement on January 27th, 2023. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact Thank you for your prompt attention to this matter.

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 Abstract: USGS science centers under all mission areas have largely operated under their own purview in the arena of data management with the level of oversight and consistency among projects varying greatly. Water science centers manage a considerable number of local, regional, and national projects in cooperation with Federal and State partners that produce data that often fall outside the interests of national USGS data Programs such as the North American Water Quality Assessment (NAWQA) and the National Water Information System (NWIS). In addition, a myriad of new data types and technical considerations requires a more formalized and consistent approach to Program and Project-level data management. This study will advance the long-standing need for a more formalized approach to data management planning at the science center (program) level in USGS. The study will use two different science centers (Alaska Science Center and Texas Water Science Center) as test cases. Improved planning for data management and data integration is identified in the Bureau science strategy goals (U.S. Geological Survey, 2007; Burkett and others, 2011) with the need for consistent and unified data management to allow for accessible and high confidence data and information from the USGS science community. The primary elements of the CDI Science Support Framework that this CDI-funded project and its products focus on are the Data Management and Information elements.


3:00 – 3:30   Citizen Science Curated Twitter and Species Occurrences on Mobile Devices

Derek Masaki, Core Science Analytics and Synthesis (CSAS)