The Community for Data Integration is a community of practice whose purpose is to advance the U.S. Geological Survey’s data integration capabilities. In fiscal year 2019, the Community for Data Integration held 9 monthly forums, facilitated 11 collaboration areas, held several workshops and training events, and funded 14 projects. The activities supported the U.S. Geological Survey priorities of enabling integrated predictive science, producing FAIR (Findable, Accessible, Interoperable, Reusable) data, building modular and reusable tools, building authoritative national datasets for hazards or assets, and developing tools and methods for biosurveillance of emerging invasive species and health threats. Through these efforts, community members were informed of new and emerging technologies and data topics that helped them in their professional responsibilities.
For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment—visit
For an overview of USGS information products, including maps, imagery, and publications, visit
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.
Artificial Intelligence/Machine Learning
Community for Data Integration
Software Development and Information Technology Operations
Environmental DNA
Findable, Accessible, Interoperable, Reusable
fiscal year
U. S. Geological Survey
The Community for Data Integration (CDI) is a community of practice with the purpose of building the U.S. Geological Survey’s (USGS) knowledge base for data integration in the Earth and biological sciences. The CDI accomplishes this objective by creating an environment to help its members increase their expertise in all aspects of working with scientific data. The CDI focuses on providing a space to share information across disciplines and organizational structures, consequently invigorating cross-boundary communication. Through these efforts, community members are informed of new and emerging technologies and topics that may help them in their varied professional responsibilities.
The CDI is funded and led by the USGS Science Analytics and Synthesis Program, but membership is voluntary and open to anyone willing to contribute to the community. The CDI has members from the government, as well as from academic, nonprofit, and commercial sectors. In fiscal year (FY) 2019, the CDI welcomed 290 new members to its community of learning and sharing, bringing the total membership to 1,355. Members’ self-reported job titles include research scientist, data manager, information technology professional, program manager, software developer, data scientist, and communication specialist, among others.
The CDI acts as a connection point between efforts lead by grassroots practitioners and the priorities of USGS executive leadership. Although CDI activities and topics are driven by members’ needs, yearly themes for the proposal process are chosen by CDI’s executive sponsors to align with current USGS science goals. The FY 2019 request for proposals themes included (1) FAIR (Findable, Accessible, Interoperable, Reusable) data and tools and (2) methods for biosurveillance of emerging invasive species and health threats. In addition, the theme of the 2019 CDI workshop was “From Big Data to Smart Data,” addressing the USGS priority of increasing capabilities for actionable intelligence and 21st-century science.
The following sections explain in more detail the events, outputs, and impact of the CDI community of practice during FY 2019.
The CDI holds monthly virtual forums to inform members about new tools, best practices, and relevant standards and policies within the Earth and biological sciences community. The monthly forums serve to reduce barriers to interdisciplinary research and create opportunities for collaborative learning and advancement of Earth and biological science. Topics from FY 2019 included approaches to storing and managing large volumes of scientific data (
[USGS, U.S. Geological Survey; lidar, light detection and ranging; ESIP, Earth Science Information Partners; CUAHSI, The Consortium of Universities for the Advancement of Hydrologic Science; ISO, International Organization for Standardization; NASA, National Aeronautics and Space Administration]
Date | Title(s) | Speaker(s) | Number of attendees |
October 10, 2018 | “Assembling a National Scale Map of Landslide Inventories from Incomplete and Disparate Spatial Data” | Benjamin Mirus, USGS | 113 |
“A Cost-Effective Approach to Scientific Data Storage and Management: BlackPearl and Globus” | Matt Davis, Jeff Falgout, Drew Ignizio, USGS | ||
“Building a SpatioTemporal Feature Registry (preview)” | Sky Bristol, USGS | ||
November 14, 2018 | “Announcement of the new Artificial Intelligence/Machine Learning Collaboration Area” | Jim Reilly, Director, USGS, and JC Nelson, USGS | 112 |
“The New 3D Elevation Program Lidar Products and Elevation Services from the National Map” | Rob Dollison, USGS | ||
“ESIP Lab Opportunities” | Annie Burgess, ESIP | ||
February 13, 2019 | “CUAHSI Tools for Water Research and Data Publication” | Tony Castronova, CUAHSI | 113 |
“Workflows to Support Integrated Predictive Science Capacity: Forecasting Invasive Species for Natural Resource Planning and Risk Assessment” | Jake Weltzin, USGS | ||
CDI 2019 Workshop, June 4–7, Boulder, Colorado: How to propose topics, submit a demo, request events, sign up, and more | Leslie Hsu, USGS | ||
March 13, 2019 | “Development of the Nonindigenous Aquatic Species Alert Risk Mapper (ARM)” | Wesley Daniel, USGS | 114 |
“Content Specifications to Enable USGS Transition to ISO Metadata Standard” | Dennis Walworth and Fran Lightsom, USGS | ||
“Department of the Interior Risk and the Community for Data Integration Risk Map” | Nate Wood and Jeanne Jones, USGS | ||
April 10, 2019 | “Developing an Interactive Web-based Tool for Anticipating Long-term Drought Risk” | Caitlin Andrews, USGS | 120 |
“Knowledge Extraction Algorithms (KEA): Turning Literature into Data” | Matthew Neilson, USGS | ||
“Mapping Land-use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks” | Jon Warrick, USGS | ||
May 8, 2019 | “ICE! Ice Jam Hazard Mobile-Friendly Website” | Hans Vraga and Kathy Chase, USGS | 121 |
“Investigation of Lidar Data Processing and Analysis in the Cloud” | Jessica Walker, USGS | ||
“OpenTopography: Long Tail Topographic Data Management with the Community Dataspace” | Chris Crosby, UNAVCO | ||
July 10, 2019 | “Scientist’s Challenge: Data Stories Using Jupyter Notebooks to Increase Reusability of Datasets” | Richie Erickson, USGS | 104 |
“An Open Online Map of Landslide Occurrence across the U.S. Assembled from Incomplete and Disparate Spatial Data Sets” | Benjamin Mirus, USGS | ||
“U.S. Geological Survey National Digital Trails Network” | Greg Matthews and Elizabeth McCartney, USGS | ||
August 14, 2019 | “Exploring NASA’s Earth Science Data Collections at earthdata.nasa.gov” | Cynthia Hall, NASA | 100 |
“Community for Software & Data Integration” | Michelle Guy, Jeremy Newson, and Cassandra Ladino, USGS | ||
September 11, 2019 | “USGS Water Prediction Work Program (2WP)” | Katie Skalak and David Lesmes, USGS | 113 |
“National Hydrologic Geospatial Fabric: A Framework for the Integration of Water Information” | Roland Viger, USGS |
Image from the October 2018 Monthly Forum presentation “A Cost-Effective Approach to Scientific Data Storage and Management: BlackPearl and Globus” (Matt Davis, U.S. Geological Survey).
Screen capture of 3D Elevation Program (3DEP) Lidar Explorer that will enable visualization of all 3DEP lidar data in 2019 from the November 2018 presentation “The New 3D Elevation Program Lidar Products and Elevation Services from the National Map” (Rob Dollison, U.S. Geological Survey).
Figure 2. Screen capture of 3D Elevation Program Lidar Explorer.
Diagram showing integrated priorities from water stakeholders and the need for actionable water intelligence through integrated water analyses, predictions, and data (hydrologic, economic, demographic, environmental, and political) from the September 2019 presentation “USGS Water Prediction Work Program (2WP)” (Katie Skalak, U.S. Geological Survey).
The CDI is organized into groups—also known as collaboration areas—that form around common interests in specific topics related to data integration (
Collaboration area discussions may originate in their separate groups but are often widely applicable to a larger audience. Some recent examples include updates regarding the USGS Publications Warehouse, the purpose and use of the USGS Digital Object Identifier tool, and services provided by the USGS Web Informatics and Mapping Program. Other discussion topics included how to engage social scientists in collaborative research, lessons in stakeholder engagement, and migrating projects from external Git repositories to one of the official USGS source code archives (
[DevOps, Software Development and Information Technology Operations; eDNA, environmental DNA]
Collaboration area | Group contact(s) |
Artificial Intelligence/Machine Learning | Pete Doucette—pdoucette@usgs.gov |
Citizen-Centered Innovation | Sophia Liu—sophialiu@usgs.gov |
Data Management | Viv Hutchison—vhutchison@usgs.gov |
DevOps | David Hughes—drhughes@usgs.gov |
eDNA | Scott Cornman—rcornman@usgs.gov |
Fire Science | Paul Steblein—psteblein@usgs.gov |
Metadata Reviewers | Fran Lightsom—flightsom@usgs.gov |
Risk Research and Applications | Kris Ludwig—kaludwig@usgs.gov |
Semantic Web | Fran Lightsom—flightsom@usgs.gov |
Software Development | Michelle Guy—mguy@usgs.gov |
Technology Stack | Richard Signell—rsignell@usgs.gov |
The AI/ML collaboration area was created to facilitate sharing and discovery of AI/ML work being done at the USGS, offer learning opportunities, identify AI/ML-related needs, and create connections between practitioners. The AI/ML group began meeting in December 2018 and started by gathering information about AI/ML projects throughout the USGS and sharing AI/ML-related news—such as funding and training opportunities supported by the USGS National Innovation Center (
Illustration showing the relationship of different terms to artificial intelligence and data science (Pete Doucette, U.S. Geological Survey).
“The Citizen-Centered Innovation Community provides information to its members on open innovation efforts like crowdsourcing, citizen science, civic hacking, and challenge and prize competitions at USGS and other U.S. Department of the Interior bureaus. The group facilitates and enhances connections between the USGS and the larger Federal and public Citizen Science and Open Innovation communities.” (
The Data Management Working Group fosters best practices and collaborative approaches for incorporating data management into USGS science workflows and educating scientists about the value of such methods in research or operational workflows. The group seeks to elevate the practice of data management throughout the USGS Data Lifecycle (
“The purpose of the DevOps Working Group is to share new techniques and lessons learned using relevant tools and methods.”(
The purpose of the eDNA Community of Practice is to improve communication, share knowledge, and act as a catalyst for collaboration among people interested in the application of eDNA techniques in Earth-science fields. eDNA is DNA released from an organism into the environment that can be used for the detection and monitoring of native and invasive species (Pilliod and others, 2013). In FY 2019, the group’s first year as a CDI collaboration area, presenters shared information on topics including a backpack-style eDNA acquisition device, White Shark eDNA (
Image depicting collection of environmental DNA (eDNA) in the ocean (Kevin Lafferty, U.S. Geological Survey).
The goal of the Fire Science Community of Practice is to share information related to all aspects of fire research, including management and mitigation strategies, ecological effects, socio-economic implications, and advances in detection and monitoring tools. An already established group had been meeting and developing a USGS fire science strategy, but in FY 2019, they joined the CDI in order to reach a larger audience and leverage collaborative infrastructure to share materials and information with participants. Monthly meetings include an update on fire activity in the United States and other announcements related to fire science in addition to a relevant science talk. Science presentation topics included the invasive grass-fire cycle in the southwestern United States, the LANDFIRE remapping effort, means of obtaining access to classified imagery for fire science, and decisions about wildfire risk mitigation (app. 1,
The purpose of the Metadata Reviewers Community of Practice is to provide a forum for people who review metadata to confer and to establish and maintain consistent metadata review standards throughout the USGS. This group also enables people new to the metadata reviewer role to learn from experienced reviewers. In FY 2019, the group met monthly to discuss various topics including content for a “Reviewing Metadata” section of the USGS Data Management Website, metadata documentation and sharing for long-term monitoring (
MonitoringResources.org provides a range of tools and services including tools for designing field data collection methods and protocols. Image from the April 2019 presentation titled “MonitoringResources.org: Metadata Documentation and Sharing for Long-Term Monitoring” (Sheryn Olson, U.S. Geological Survey).
The purpose of the Risk Research and Applications Community is to convene scientists and staff from across the USGS to discuss issues relevant to risk research and applications. Here, risk is defined as “the potential for consequences where something of value is at stake and where the outcome is uncertain, recognizing the diversity of values” (Ludwig and others, 2018, p. 51). The establishment of the community in 2019 was part of the implementation of the 2018 USGS Risk Plan (USGS Science for a Risky World: A USGS Plan for Risk Research and Applications, Ludwig and others, 2018). Monthly meetings include a mix of presentations, discussions, and announcements about relevant resources, events, and activities. Topics explored by the community in FY 2019 included stakeholder engagement, social science, strategic risk research and applications to support U.S. Department of the Interior planning, SAFRR (Science Application for Risk Reduction) projects and scenarios for risk reduction, and novel ways of displaying risk-related data (app. 1,
“The Semantic Web Working Group is a group of data practitioners working together to explore semantic web technologies to improve the discovery, access, use, and integration of USGS data” (
The Software Development Cluster provides a space for USGS software developers and other interested parties to discuss software release protocols and policies, best practices, software metadata, and software libraries, packages, and tools. Topics in FY 2019 included the USGS code archive (
“The goal of the Technology Stack Working Group is to explore and share technologies that aid in data discovery, access, and interoperability. The group informs USGS providers and users about tools and techniques to improve efficiency when working with scientific data” (
In FY 2019, the Technology Stack Working Group continued its partnership with Earth Science Information Partners for the Tech Dive webinar series (
Many CDI members have requested continuing education on tools for data science and data visualization. After a well-attended, online, self-paced tutorial during FY 2018, we completed two additional online group-learning activities with the same format in FY 2019: “Introduction to Python for Data Science,” and “Matplotlib–Plotting in Python.” The first course covered Python basics, Python lists, functions and packages, and NumPy. The second activity covered several resources on Matplotlib, a library for creating static, animated, and interactive visualizations in Python. Both activities had approximately 30 participants and used group accountability and discussion on the wiki.
The CDI also organizes special webinars outside of recurring venues to bring tools and information from external partners to our members. In May 2019, Shanan Peters of the University of Wisconsin presented a talk titled “Connecting Published Data and Information to Scientific Workflows.” Peters shared the work that his research group is doing towards establishing an automated system for constructing knowledge bases from scientific publications and using artificial-intelligence-based approaches to text, table, figure, and equation recognition on an enormous database of scientific publications. This research was leveraged by a CDI-supported collaborative project titled “Knowledge Extraction Algorithms (KEA): Turning Literature into Data” (Neilson and others, 2018).
Biennial in-person CDI workshops bring the community together to discuss current topics and shared challenges, and to share information regarding USGS science priorities. The 2019 workshop was held from June 3–7 at Center Green in Boulder, Colorado. The theme of the workshop was “From Big Data to Smart Data,” and the agenda was driven by the needs and interests of the community, with topics highlighting current resources and technologies that could help attendees in their daily work (
Outcomes of the workshop included documentation of key take-aways from the topical sessions and input regarding the future direction of the CDI. During sessions, new areas of collaboration and learning were identified, such as data visualization, usability of applications and sites, the importance of software in scientific research, collaborations with external partners, stakeholder engagement, and AI/ML methods. The CDI will build from the results of the workshop to guide future topics, events, and funding opportunities in order to continue to support an integrated science capacity for the USGS.
The Making USGS Data FAIR Workshop was convened to design a roadmap for implementation of FAIR practices in USGS. The workshop was held September 9–11, 2019, in Fort Collins, Colo. “FAIR is an international set of principles that describes data, other digital products, and methods to promote data discovery and re-use. Applying the FAIR Data principles will improve the application of USGS data, tools, workflows, and systems; creating FAIR data will facilitate integration of USGS science by enhancing data accessibility, discovery, and (re)use” (
“The CDI annually supports innovative projects that produce new and reusable ideas, methods, or tools that have an impact beyond a single USGS program, center, region, or mission area. The CDI provides up to $50,000 per project.” (
“focus on targeted efforts that yield near-term benefits to Earth and biological science;
leverage existing capabilities and data;
implement and demonstrate innovative solutions (e.g., methodologies, tools, or integration concepts) that could be used or replicated by others at scales from project to enterprise;
preserve, expose, and improve access to Earth and biological science data, models, and other outputs; and
develop, organize, and share knowledge and best practices in data integration.” (USGS, 2018, p. 5)
In FY 2019, the CDI continued to support projects that “…deliver powerful new products and services that provide: (1) vulnerability detection and assessment, (2) prediction and forecasting, (3) early warning, and (4) decision support at the scale of decisions.” (USGS, 2017) These focus topics are outlined in a memo regarding the USGS FY18 bureau priorities that support a USGS integrated predictive science capacity (USGS, 2017). Examples of funded projects include seasonal to real-time warnings of biological threats such as disease, invasive species, or harmful algal blooms; natural hazards, such as earthquakes, landslides, volcanic eruptions, and flood inundation; impacts of both sudden and long-term coastal change on public safety, infrastructure and economies, and lands, waters, and natural resources; health threats from environmental contaminants and pathogens; and water availability or quality prediction and forecasting. Specifically, proposals in FY 2019 were encouraged to address one or more of the following themes:
Producing FAIR data and tools for integrated predictive science capacity;
Reusing or repurposing modular tools such as those developed by previous CDI projects, including the CDI Risk Map (Wood and others, 2018);
Building authoritative national datasets for hazards or assets (integrating data and assessing quality); and
Developing tools and methods for biosurveillance of emerging invasive species and health threats.
[FAIR, Findable, Accessible, Interoperable, Reusable]
Title | URL | Lead principal investigator | U.S. Geological Survey program |
“Open-Source and Open-Workflow Climate Futures Toolbox for Adaptation Planning” | Aparna Bamzai | North Central Climate Adaptation Science Center | |
“Extending ScienceBase for Disaster Risk Reduction” | Joseph A. Bard | Volcano Science Center | |
“Transforming Biosurveillance by Standardizing and Serving 40 Years of Wildlife Disease Data” | David S. Blehert | National Wildlife Health Center | |
“Integrating Short-Term Climate Forecast into a Restoration Management Support Tool” | John B. Bradford | Southwest Biological Science Center | |
“National Public Screening Tool for Invasive and Non-Native Aquatic Species Data” | Wesley M. Daniel | Wetland and Aquatic Research Center | |
“High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States” | Sara L. Eldridge | Wyoming-Montana Water Science Center | |
“Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Image Velocity Gaging” | Frank L. Engel | Oklahoma-Texas Water Science Center | |
“Serving the U.S. Geological Survey’s Geochronological Data” | Amy K. Gilmer | Geosciences and Environmental Change Science Center | |
“Establishing Standards and Integrating Environmental DNA (eDNA) Data into the USGS Nonindigenous Aquatic Species Database” | Margaret E. Hunter | Wetland and Aquatic Research Center | |
“Subsidence Susceptibility Map for the Conterminous U.S.” | Jeanne M. Jones | Western Geographic Science Center | |
“A Generic Web Application to Visualize and Understand Movements of Tagged Animals” | Benjamin Letcher | Leetown Science Center | |
“Building a Roadmap for Making Data FAIR in the U.S. Geological Survey” | Frances L. Lightsom | Woods Hole Coastal and Marine Science Center | |
“Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework” | Richard R. McDonald | Water Resources Mission Area Integrated Modeling and Prediction Division | |
“Implementing a Grassland Productivity Forecast Tool for the U.S. Southwest” | Sasha C. Reed | Southwest Biological Science Center |
Through the monthly forums, collaboration areas, workshops, projects—as well as through listening to the community’s needs—the Community for Data Integration (CDI) provides content that keeps members informed of information and tools to work with their data. The community continues to grow in participants and scope, with new collaboration areas in fiscal year 2019 focused on Artificial Intelligence/Machine Learning, fire science, and risk.
The executive sponsors of the CDI continue to challenge the community to use its diverse expertise to help build a U.S. Geological Survey integrated predictive science capacity. To help reach this goal, CDI’s activities in fiscal year 2019 focused on the themes of FAIR (Findable, Accessible, Interoperable, Reusable) data, reusing or repurposing modular tools, building authoritative national datasets for hazards or assets, and creating tools and methods for biosurveillance of emerging invasive species and health threats. As the CDI increases its visibility in the U.S. Geological Survey and beyond, we will continue to facilitate activities supporting data and science integration for the Earth and biological sciences.
Funding for the Community for Data Integration in fiscal year 2019 came from the U.S. Geological Survey (USGS) Core Science Systems Mission Area, USGS Office of Enterprise Information, and USGS Ecosystems Mission Area. The authors would like to thank Jessica Walker and Heather Schreppel, both with the USGS, for providing comments that improved this report.
This appendix lists presentation topics and speakers from the different collaboration area meetings for fiscal year 2019.
[USGS, U.S. Geological Survey; AI, Artificial Intelligence; ML, Machine Learning; USFWS, U.S. Fish and Wildlife Service]
Date | Subject | Speaker(s) |
December 11, 2018 | Inaugural meeting | Tim Quinn and JC Nelson, USGS |
February 12, 2019 | “Opportunities at the USGS Innovation Center related to AI/ML” | John Stock, USGS |
“Ruminations on AI and Land Imaging” | Pete Doucette, USGS | |
March 12, 2019 | “Tallgrass, a New Machine for AI at the USGS” | Jeff Falgout, USGS |
“AI for Integrated Environmental Modeling & Forecasting, and Overview of AI for Ecosystem Services” | Ken Bagstad, USGS | |
May 14, 2019 | “XGBoost in Continuous Change Detection and Classification (CCDC)” | Chris Barber, USGS |
“Deep Learning to Quantify Benthic Habitat” | Peter Esselman, USGS | |
June 11, 2019 | Strategic Science Planning at USGS | Pete Doucette, USGS |
August 13, 2019 | “Continuous Streamflow and Nearshore Wave Monitoring from Time-lapse Cameras Using Deep Neural Networks” | Daniel Buscombe, Northern Arizona University |
September 10, 2019 | “Utilizing Deep Neural Networks for Landscape Conservation: An Application of Google’s Tensorflow for a Cannabis Production Inventory in Northern California” | Daryl Van Dyke, USFWS |
[DOI, U.S. Department of the Interior; USGS, U.S. Geological Survey; OSTP, Office of Science and Technology Policy]
Date | Subject | Speaker |
May 15, 2019 | “DOI Generic Information Collection Request” | Sophia Liu, USGS |
“USGS Open Innovation Strategy” | Sophia Liu, USGS | |
April 17, 2019 | “OSTP Report to Congress for the Crowdsourcing and Citizen Science Act” | Sophia Liu, USGS |
Continued discussion of “DOI Generic Information Collection Request” | Sophia Liu, USGS |
[FAIR, Findable, Accessible, Interoperable, and Reusable; USGS, U.S. Geological Survey; ISO, International Organization for Standardization; ADIwg, Alaska Data Integration Working Group; CDI, Community for data Integration; DMWG, Data Management Working Group; RFP, request for proposals]
Date | Title(s) | Speaker(s) |
October 29, 2018 | “Trust Repositories, but FAIR-ify” | Wade Bishop, University of Tennessee |
December 10, 2018 | “Updates about Publications Warehouse” | Kelly Haberstroh, USGS |
“Updates on the ISO for USGS: Content Specifications and Current Status of ADIwg” | Dennis Walworth, USGS | |
“Updates to the Digital Identifier Tool” | Lisa Zolly, USGS | |
March 11, 2019 | “Community Discussion on Goals for the CDI Workshop DMWG Session” | Cassandra Ladino, USGS |
April 9, 2019 | “Becoming a USGS Trusted Digital Repository” | John Faundeen and Natalie Latysh, USGS |
“Update on Progress for USGS Data Manager Position Description Series” | Viv Hutchison and John Faundeen, USGS | |
May 13, 2019 | “Behind the Scenes at ScienceBase: How Data Release Happens in Your USGS Trusted Digital Repository (TDR)” | Tamar Norkin, USGS |
July 8, 2019 | “Data Manager Position Descriptions: A Brief Overview” | Viv Hutchison, USGS |
“Data Management Staffing in USGS Centers/Programs” | Madison Langseth, USGS | |
August 12, 2019 | “USGS National Hydrography Data Management” | Karen Adkins and Jerry Ornelas, USGS |
“A First-timer’s Experience Publishing Data Processing Software” | Emily Sturdivant, USGS | |
September 9, 2019 | “Data Management Training Clearinghouse” | Karl Benedict, USGS |
“USGS-Specific Training Materials and Resources and CDI FY20 RFP Teaser” | Madison Langseth, USGS |
[USGS, U.S. Geological Survey; CI/CD, Continuous Integration and Continuous Delivery; HUD, Department of Housing and Urban Development; GSA, General Services Administration; NPS, National Park Service; CHS, Cloud Hosting Solutions]
Date | Title | Speaker(s) |
October 2, 2018 | “Develop Intelligence Overview-Managed Learning Solutions” | Sarah Battani, USGS |
November 6, 2018 | “ |
Shums Hoda, Booz Allen Hamilton |
February 5, 2019 | “USGS Web Informatics and Mapping Program” | Hans Vraga, USGS |
March 5, 2019 | “Technical Overview of the DevOps Environment and CI/CD pipeline” | Martin Folkoff, Booz Allen Hamilton |
April 2, 2019 | “Department of Housing and Urban Development DevOps” | Kevin Portanova and Mel Hurley, HUD |
May 7, 2019 | “GitLab Web-based DevOps Lifecycle Tool” | Kyle Goodwin, GitLab |
July 2, 2019 | “18F/GSA DevOps Best Practices” | Peter Burkholder, GSA/18F |
August 6, 2019 | “National Park Service Vector Tiling Activities” | Jim McAndrew, NPS |
September 3, 2019 | “USGS Bird Banding Lab ReportBand Application” | George Ralston and other staff from CHS (USGS) |
[USGS, U.S. Geological Survey; UCSB, University of California, Santa Barbara]
Date | Title | Speaker |
November 13, 2018 | “Data on a Backpack-style eDNA Acquisition Device” | Austen Thomas, Smith-Root |
February 19, 2019 | “CALeDNA (California Environmental Data)” | Rachel Meyer, University of California Conservation Genomics Consortium |
April 16, 2019 | “White Shark eDNA” | Kevin Lafferty, USGS/UCSB |
May 21, 2019 | “Choosing the Right eDNA Assay: Developing Standards for Limit of Detection and Limit of Quantification” | Chris Merkes, USGS |
[USGS, U.S. Geological Survey]
Date | Title(s) | Speaker(s) |
February 12, 2019 | “Effects of Prescribed Fire on San Francisco Gartersnake Survival and Movement” | Brian Halstead, USGS |
March 20, 2019 | Updates from the Fire Science Strategic Planning Team | Paul Steblein, USGS |
April 9, 2019 | “Changing Environmental Drivers, Tipping Points, and Resilience in Fire-prone Ecosystems” | Craig Allen, USGS |
May 21, 2019 | “Slowing the Invasive Grass-fire Cycle in Dryland Ecosystems of the Southwestern U.S.” | Seth Munson, USGS |
July 16, 2019 | “LANDFIRE Remap—Developing a New Baseline Product Suite” | Joshua Picotte, USGS |
“Arsenic and Old Mines–Wildfire Remobilizes Historical Mining Waste” | Sheila Murphy, USGS | |
August 20, 2019 | “Sunk Cost, Well Spent: Enhancing Interagency Remote Sensing with the Civil Applications Committee” | Dan Opstal, USGS |
September 17, 2019 | “Decisions About Wildfire Risk Mitigation on Private Property: the Role of Spatial Effects, Risk Perceptions, and Systematic Data Collection” | James Meldrum, USGS |
[USGS, U.S. Geological Survey; ISO, International Organization for Standardization; FAIR, Findable, Accessible, Interoperable, and Reusable; CDI, Community for Data Integration]
Date | Title or topic(s) | Speaker(s) |
October 1, 2018 | Current state of metadata for data releases in USGS, status of ISO Content Specs project, and a new effort to enable FAIR principles in USGS | Group discussion |
November 5, 2018 | Review of checklists for data review and metadata review and discussion of how we review data and metadata in our science centers | Group discussion |
December 3, 2018 | Using links to publications in the Process Step; follow up from data and metadata review checklists | Group discussion |
February 4, 2019 | Discussion of guidance on the volume of data necessary to trigger a separate data release and how authors should reference data that is not publicly available when writing a manuscript | Group discussion |
March 4, 2019 | Discussion of location parameters in metadata and data; discussion of a Jupyter notebook for quick evaluation of large data files | Group discussion |
April 1, 2019 | “MonitoringResources.org: Metadata Documentation and Sharing for Long-term Monitoring” | Sheryn Olson, USGS |
May 6, 2019 | “How the USGS Science Data Catalog Could Use the Keywords in Metadata Records to Improve Data Discovery” | VeeAnn Cross and Peter Schweitzer, USGS |
July 1, 2019 | Wrap-up from CDI breakout session | Group discussion |
August 5, 2019 | “Proposed ‘Reviewing Metadata’ Page on the USGS Data Management Website” | Madison Langseth, USGS and group discussion |
[USGS, U.S. Geological Survey; SAFRR, Science Application for Risk Reduction; DOI, U.S. Department of the Interior; Bsal,
Date | Title or topic(s) | Speaker(s) |
March 21, 2019 | Community of Practice Kickoff Meeting | Kris Ludwig, USGS |
March 26, 2019 | FY19 Request for Proposals Informational Webinar | Kris Ludwig, USGS |
April 18, 2019 | “Shared Learning and Intentional Collisions—Benefits of a Community of Practice” | Leslie Hsu, USGS |
“Relationships with Key Stakeholders: Examples from ShakeCast” | David Wald, USGS | |
May 16, 2019 | “Social Science 101” | Sara McBride, USGS |
“SAFRR Projects & Scenarios for Risk Reduction” | Dale Cox, USGS | |
June 20, 2019 | “The USGS Earthquake Hazards Program ‘Engineering & Risk’ Project” | Nico Luco, USGS |
“Strategic Risk Research and Applications to Support DOI Planning” | Nate Wood, USGS | |
July 18, 2019 | “Quantifying Rock Fall Hazard and Risk to Roadways in National Parks: Yosemite National Park Pilot Project” | Brian Collins, USGS |
“Re-visiting Bsal Risk: How 3 Years of Pathogen Surveillance, Research, and Regulatory Action Change our Understanding of Invasion Risk of the Exotic Amphibian Pathogen |
Dan Grear, USGS | |
“The State of Our Coasts: Coastal Change Hazards Stakeholder Engagement & User Need Assessment” | Emily Himmelstoss, USGS | |
“Assessing the Risk of Global Copper Supply Disruption from Earthquakes” | Kishor Jaiswal, USGS | |
“Communications of Risk-Uranium in Groundwater in Northeastern Washington State” | Sue Kahle, USGS | |
“Cascading Communication: Exploring How Scientific Research Affects Policy and Earthquake Preparedness Communication in Areas of Induced Seismicity” | Sara McBride, USGS | |
“Ecological Forecasts for Risk Management” | Alyssa Rosemartin, National Phenology Network | |
“Hazard Exposure Analyst Tool (HEAT)” | Jason Sherba, USGS | |
July 19, 2019 | Special Topic Session: Panel discussion on stakeholder engagement | Amanda Cravens, Alice Pennaz, Rudy Schuster, and Anne Wein, USGS |
August 15, 2019 | “Rigorously Quantifying the Coastal Hazard Risk Reduction Provided by US Coral Reefs” | Curt Storlazzi, USGS |
“I Have an Idea! Alternative Ways of Displaying our Data” | Athena Clark, USGS | |
September 19, 2019 | “The WiRē Team: a Long-term Research-practice Collaboration for Supporting Wildfire Adaptedness in Wildland-Urban Interface (WUI) Communities” | James Meldrum, USGS |
“Community-Centered Climate Planning for People and Parks” | Emily Brooks, USGS |
[USGS, U.S. Geological Survey; CDI, Community for Data Integration; FAIR, Findable, Accessible, Interoperable, Reusable]
Date | Topic | Speaker(s) |
October 11, 2018 | Semantic approaches to enable USGS data to be FAIR (Findable, Accessible, Interoperable, Reusable) | Group discussion |
February 14, 2019 | CDI FAIR in USGS Proposal and Workshop Ideas | Group discussion |
March 14, 2019 | Semantic Web elements at 2019 CDI Workshop | Group discussion |
June 13, 2019 | Contributing to the USGS FAIR Roadmap | Group discussion |
[USGS, U.S. Geological Survey; CDI, Community for Data Integration; NGTOC, National Geospatial Technical Operations Center]
Date | Title or topic(s) | Speaker(s) |
October 25, 2018 | “Migrating Projects from Other Git Repositories to code.usgs.gov” | Eric Martinez, USGS |
February 28, 2019 | “Cloud and Big Data in the Cloud” | Cassandra Ladino, USGS |
March 28, 2019 | “Brainstorming and Planning for the 2019 CDI Annual Workshop” | Group discussion |
April 25, 2019 | “Collaboration through the Software Dev Cluster, Desktop Installers and Script Signing” | Cassandra Ladino, USGS |
May 23, 2019 | “Docker Basics for Code Development” | Michelle Guy, Jeremy Newson, and Cassandra Ladino, USGS |
June 27, 2019 | “CDI Workshop Report Out” | Cassandra Ladino, USGS |
July 25, 2019 | “Deeper Dive into Containers and Docker, Water Mission Area and NGTOC” | Carl Schroedl and Ivan Suftin, USGS |
August 22, 2019 | CDI FY20 Request for Proposals | Group discussion |
September 26, 2019 | “Databases and Beyond!” | Cassandra Ladino, USGS |
[USGS, U.S. Geological Survey; ADIwg, Alaska Data Integration Working Group; USFWS, U.S. Fish and Wildlife Service]
Date | Title | Speaker(s) |
October 11, 2018 | “SpatioTemporal Feature Registry: ESIP Idea Campaign and Working Example in USGS” | Sky Bristol, USGS |
November 8, 2018 | “Intake: Lightweight Tools for Loading and Sharing Data in Data Science Projects” | Martin Durant, Anaconda |
December 13, 2018 | “Developing JupyterLab Extensions” | Ian Rose, University of California, Berkeley |
February 14, 2019 | “Cloud Native Geoprocessing of Earth Observation Satellite Data with Pangeo” | Scott Henderson, University of Washington |
March 14, 2019 | “Integrating SciServer and OceanSpy to Enable Easy Access to Oceanographic Model Output” | Mattia Almansi, Johns Hopkins University |
April 11, 2019 | “Pachyderm” | John Karabaic, Pachyderm |
May 9, 2019 | “The SpatioTemporal Asset Catalog (STAC) Specification” | Chris Holmes, Planet Labs |
June 6, 2019 | “Google Dataset Search: Facilitating Data Discovery in an Open Ecosystem” | Chris Gorgolewski, Google |
July 11, 2019 | “ADIwg Open Source Metadata Toolkit” | Josh Bradley, USFWS and Dennis Walworth, USGS |
August 8, 2019 | “The Challenge of Location and How Discrete Global Grid Systems Can Enable Spatial Data Integration” | Matthew Purss, Geoscience Australia |
September 12, 2019 | “STARE: SpatioTemporal Adaptive Resolution Encoding for Scalable Integrative Analysis” | Michael Rilee, Rilee Systems Technologies, LLC |