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This project aimed to advance the long-standing need for a more formalized approach to data management planning at the science center (program) level in USGS. The study used two different science centers 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. Benefits Two data management models for other science centers to use Data management framework tested by use case scenario Deliverables A Science Center review on data management...
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Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing...
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Social scientists funded through the National Climate Change and Wildlife Science Center (NCCWSC) and the Climate Science Centers (CSCs) have an obligation to provide access to their climate science related research data. We suspect, as with other data types, that tools for creating and editing social science metadata specific to the climate science domain and linking the metadata to the actual data either do not exist or are non-intuitive for scientists. Through our research we sought to verify whether any definitive metadata tool for social scientists working in the climate science domain exists. We also sought to determine whether a commonly agreed upon social science metadata standard exists. We suspect that...
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WGFD has a quantity of GPS-based animal movement data available for processing. In order to fully integrate this data into existing statewide migration route data layers and/or to use it to develop modeled migration corridor data layers, it must be reviewed, organized appropriately, analyzed, modeled and finally structured to allow seamless integration. The objective of this proposal is to review and examine the data, organize it meaningfully, and present it initially in combination with existing migration routes in order to represent generalized big game migration corridors across the landscapes of Wyoming. This is anticipated as a “first look” product, and serve as a basis for future work to more fully analyze...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2012, CO-2, CO-3, CO-3, All tags...
FAIR is an international set of principles that describe data, and other digital products, that are ready for easy re-use. The acronym stands for Findable, Accessible, Interoperable, Reusable. Using the FAIR principles would improve the value of USGS data, tools, workflows, and systems; creating FAIR data would make USGS integrated science projects easier and quicker. This project will host a workshop of USGS data stakeholders, data professionals, and managers of USGS data systems to define what FAIR means for USGS products and to produce a roadmap for adopting FAIR principles in USGS.
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USGS data are one of the most valuable assets of the organization, and it is critical that we ensure our scientists and staff produce and manage data in such a way that at the completion of a project, the data continues to be accessible in useable formats, documented so it can be understood, and preserved properly for future uses. The goals of this project included: produce three online training modules that relay the importance of data management, best practices for planning, and guidance for preparing science data to share; target audiences of researchers, data managers, and the public; format the modules to consist of automated PowerPoint slides, voice-over narration, and video segments featuring scientists...
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Landscape Conservation Cooperatives (LCCs) have a critical need for information management processes that facilitate science product (i.e., data, analysis and decision tools, documents) sharing; data storage, security, and dissemination; and project tracking, communication and collaboration tools (Arctic LCC 2010, North Atlantic LCC 2011, Southern Rockies LCC 2011, California LCC 2011). LCCs and their partners are already developing and using a wide variety of data management systems to address LCC and project needs, but the LCC Network and all partners need better coordination across these efforts to develop and share common standards and services, improving the intellectual exchange needed to achieve the LCC mission....
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In this age of rapidly developing technology, scientific information is constantly being gathered across large spatial scales. Yet, our ability to coordinate large-scale monitoring efforts depends on development of tools that leverage and integrate multiple sources of data. North American bats are experiencing unparalleled population declines. The North American Bat Monitoring Program (NABat), a multi-national, multi-agency coordinated monitoring program, was developed to better understand the status and trends of North American bats. Similar to other large-scale monitoring programs, the ultimate success of NABat relies on a unified web-based data system. Our project successfully developed a program interface...
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Large amounts of data are being generated that require hours, days, or even weeks to analyze using traditional computing resources. Innovative solutions must be implemented to analyze the data in a reasonable timeframe. The program HTCondor (https://research.cs.wisc.edu/htcondor/) takes advantage of the processing capacity of individual desktop computers and dedicated computing resources as a single, unified pool. This unified pool of computing resources allows HTCondor to quickly process large amounts of data by breaking the data into smaller tasks distributed across many computers. This project team implemented HTCondor at the USGS Upper Midwest Environmental Sciences Center (UMESC) to leverage existing computing...
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Land-use researchers need the ability to rapidly compare multiple land-use scenarios over a range of spatial and temporal scales, and to visualize spatial and nonspatial data; however, land-use datasets are often distributed in the form of large tabular files and spatial files. These formats are not ideal for the way land-use researchers interact with and share these datasets. The size of these land-use datasets can quickly balloon in size. For example, land-use simulations for the Pacific Northwest, at 1-kilometer resolution, across 20 Monte Carlo realizations, can produce over 17,000 tabular and spatial outputs. A more robust management strategy is to store scenario-based, land-use datasets within a generalized...
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Spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. This problem of data variability is common across USGS Mission Areas; it presents an obstacle to developing national-scale products and to identifying areas with relatively good/bad data coverage. We compiled available data of known landslides into a national-scale, searchable online map, which greatly increases public access to landslide hazard information. Additionally, we held a workshop with landslide practitioners and sought broader input from the CDI community; based on recommendations we identified a limited subset of essential attributes for inclusion in our product. We also defined a quantitative metric...
These four tables document the data used to draw the findings in the manuscript “Measuring sustainability of seed-funded Earth science informatics projects,” by Hsu et al. Table 1, “ListProjects-data” lists the projects funded by the Community for Data Integration from 2010-2016. Table 2, “Outputs-data” lists the deliverables that were proposed and delivered to the Community for Data Integration from 2010-2016, and notes if they were still accessible or sustained at the time of this study (December 2018). Table 3, “Influences-and-Sustainabiltiy-data” lists the projects and the sustainability influences examined in this study, as well as if the project achieved individual-level or organizational-level sustainability....
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Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system where code can move directly from the command-line onto the Web for discussion, sharing, and open contributions. Within the USGS, however, data have no such analogous system. To bring data collaboration and sharing within the USGS to the next level, we are missing crucial components. The sbtools project team built sbtools, an R interface...
2012 Updates - Phase 2 (information from the FY12 CDI Annual Report) This project solicited input from USGS Mission Areas, Geographic Areas, CDI, etc. on Phase 1 FY11 Data Management Education Products. The proposal called for an interface with Data Management Website Working Group to make materials available. The work also included the development of content for a USGS data management training program based upon existing materials and data management training. Finally, development of a format/structure for data management training workshop was completed. Benefits Inform and encourage broadest possible application of data Management best practices Knowledge of data management practices in the Survey will increase...
This project identified collected, and characterized existing online monitoring methods and protocol collection tools that USGS manages or is a substantial collaborator. It also identified the common elements between existing protocol libraries content and functionality. The project examined the results of the USGS Monitoring workshop in December 2011 that provided information about stakeholder needs to form the future scope of monitoring library components and functionality. Finally, the project developed a mechanism via the Data Management website for USGS scientists to identify their needs with regards to seeking monitoring protocols for a particular methodology and or other protocol access, reference, and citation...
Categories: Project; Tags: Best Practices, Data Management
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The purpose of this project was to support the enhanced search, access, and visualization capability for disaster maps and other contributed products on the public USGS Hazards Data Distribution System (HDDS) (U.S. Geological Survey, 2015). These products are often provided to USGS by collaborators for sharing across the response community during the course of an emergency event response; however, in the past, they were not easy for users to discover or access. This project involved the design, testing, and delivery of a new capability for HDDS to ingest, catalog, and display informational or value-added products when provided in a variety of formats. As a result of this work, the user community will be able to...
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Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam locations and frequencies, as well as potentially hazardous developing ice jams, are valuable data. Given the science, modeling, and hazard warning potential provided by this data, continued development of this system is widely supported. The prototype system consists of an Angular-Material framework javascript client hosted on Amazon...
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Version 3.0 of the NFHP Data System consists of data access and visualization tools and underlying data management tools and functions. The NFHP National Assessment Results Viewer allows users to visualize the primary results reported in Through a Fish's Eye: The Status of Fish Habitats in the United States 2010 at various spatial scales. It depicts the condition of stream and coastal habitats across the country on a variety of base maps and provides one-click access to more detailed information at finer scales. The NFHP Data Theme Viewer provides a summarized look at available data by theme. Datasets are displayed to show data distribution and data density nationally, compared to available data linked to the NFHP...
Tags: Alabama, Aquatic ecosystems, Aquatic habitats, Arizona, Arkansas, All tags...
We will develop an Internet of Things (IoT) protoype and associated infrastructure for camera-based data collection and processing of river streamflow using the cloud. Insights gained during the process will be used to build a framework toward leveraging IoT for other types of sensors in the USGS network.


map background search result map search result map State of Wyoming Geospatial Data Management, Information Sharing and Preparation for Decision Support System Development - Migration Corridors Supporting Social Scientists working with the CSCs in Data Sharing Efforts Integrated Data Management Network for LCCs and Partners: A Framework for Coordinated Data Discovery, Access, Analysis, Visualization, Project Tracking and Coordination USGS Land Treatment Digital Library FY19 Data Release: A centralized archive for land treatment tabular and spatial data State of Wyoming Geospatial Data Management, Information Sharing and Preparation for Decision Support System Development - Migration Corridors USGS Land Treatment Digital Library FY19 Data Release: A centralized archive for land treatment tabular and spatial data Integrated Data Management Network for LCCs and Partners: A Framework for Coordinated Data Discovery, Access, Analysis, Visualization, Project Tracking and Coordination Supporting Social Scientists working with the CSCs in Data Sharing Efforts