Confluence Retirement

Due to the feedback from stakeholders and our commitment to not adversely impact USGS science activities that Confluence supports, we are extending the migration deadline to January 2023.

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is targeted for retirement. 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.
DRAFT Workshop Themes 2013 Joint TNM Meeting & CDI Annual Workshop
Meeting ThemeShort DescriptionTopical Area Examples to Include in Call for AbstractsPrincipal Contributors & Opportunities for Integration or AlignmentTENTATIVE Meeting Tracks or SessionsCDI Areas of InterestPrinciple SSF FocusConference ThemesMiscellaneous Notes
⬇ CDI Annual Workshop ⬇
Community for Data Integration The Community for Data Integration (CDI) and its activities and products.● What is it? ● How is it organized, managed, and funded? ● What is its purpose? ● How does it interact and communicate with the USGS science community and external partners? ● What are its past, current, and planned projects and accomplishments?CDI● 3D/4D Modeling & Visualization Working Group ● Citizen Science Working Group ● Data Management Working Group ● Data Themes Working Group ● Semantic Web Working Group ● Science Data Coordinator Network ● Technology Stack Working GroupAll CDI Working Groups, Teams, ProjectsCOPCollaborateMeet the Beast: Introduce TMN community to ours; highlight activities (e.g., project support, SDCN) and accomplishments; explain framework models (e.g., SSF, SDLC) in terms of both components and application; CDI’s function, organization and alphabet soup, e.g., FSPAC, SDCN, CDI, SSF, Scientific Data Life Cycle (SDLC); may be best done via one overview talk + short talks by WG leads + recycled DataBlast posters/demos
Data Management Principles and practice of good scientific data management.● What is data management? ● Why is it important? ● How do good data management practices ease data integration? ● What do scientists need to know or do to manage data effectively at each stage of the Scientific Data Life Cycle, from initial planning through data acquisition, processing, analysis, preservation, publishing, and sharing? ● What tools exist to facilitate sound data management? ● What learning resources exist to describe and teach data management best practices? ● Who can scientists turn to for assistance in the USGS? ● What is data integration? ● How is it accomplished? CDI● ●  ●  ● Data Management (DMWG)MPSIntegrateData Management and Data Integration sensu lato; includes all elements of Scientific Data Life Cycle; links to ‘Big Data’, ‘Open Science’; includes education/training/best practices and a number of issue/policy/process-oriented topics, e.g., data release/publishing, data citation; data provenance, preservation; DOIs, etc.
Data Management Tools (DMWG)MPS Integrate, InnovateBroadened for convenience to include data discovery tools (e.g., ScienceBase, in addition to data management tools (e.g., SODA)
Data Themes (DTWG)DIAIntegrateActive?
Earth System InformaticsAll technological aspects of the computational tools, services, and techniques underpinning Earth System Science (ESS) at the USGS.● What novel computer and sensor-based applications (including mobile), web services, and semantic tools have been created or are under development do support data and information discovery, acquisition, processing, visualization, analysis, preservation, publishing, and sharing? ● What is ‘cloud computing’? ● What is the Federal Cloud Computing Strategy and how will it impact how we conduct and share our science? ● What are the benefits, costs, and risks associated with cloud computing? ● What is the ‘semantic web’? How does it work? ● How is it being used in the USGS? ● What are its potential benefits?CDI Pair with TNM Geospatial Research● ● ● ● 3D/4D Modeling & Visualization WGCTSInnovateNew CDI WG focusing on “earth resources multidimensional analysis, modeling, integration, and visualization”; could perhaps stand on its own (as a track) with sufficient content such as potential contributions from TNM and CSS (e.g., 3-D visualization of geologic map structures)
Semantic Web (SWWG)CTS, DIAInnovateThe semantic technology supporting advanced ESS data discovery and integration; includes ‘knowledge representation’ (e.g., ontologies)
Technology Stack (TSWG)CTSInnovate, IntegrateSystems, techniques, web services (tools); completed and on-going projects, several of which pertain to specific domains or technologies (e.g., TNM, NWIS, ArcGIS) of longstanding interest to the TNM community; also includes such growing areas of interest as cloud computing and mobile applications
Mobile ScienceThe application of mobile technologies and platforms in USGS research programs.● What are we doing now? ● What are we planning to do? ● How effective are current smart phone (or other mobile technology-based) data collection efforts and applications? ● What are their limitations? ● What is the long-term potential for mobile devices as quasi-ubiquitous sensor or observational platforms? ● What privacy, security, or other challenges are presented by the use of mobile devices, particularly by our citizen scientist volunteers? ● What are the legal/policy barriers or constraints to developing and deploying mobile tools. ● Which technologies (e.g., programming languages, development environments) are best suited to our needs? ● What is the USGS Mobile Framework? Mobile applications needs and solutions for US Topo and The National Map ViewerCDI● ● ● ● Mobile Applications (TSWG-MAD/CSWG)CTSInnovateApplications of mobile technology in USGS science (e.g., iPlover, DYFI); opportunities & impediments; obviously dovetails with Mobile Science; data acquisition tools, protocols, PII, etc.
Mobile Applications (TSWG-MAD)CTSInnovateDetails of technology, techniques, Mobile Framework (develop/review & approval workflow)
Public Participation in USGS ResearchPublic Participation in Science (PPSR) -- also referred to as ‘Citizen Science’ -- and its role in USGS research.● What is PPSR? ● What models of participation exist and which are best suited to the USGS’s needs? ● How are citizens currently supporting USGS science? ● Where can citizen science be brought to bear in additional areas of USGS research? ● What are the organizational challenges associated with the use of citizen volunteers? ● How do we effectively engage, retain, and reward them? ● How do we best manage, assure the quality and utility of, and share citizen-supplied observations and data? ● How are we leveraging the revolution in smart phone, locational services, social media, and related technologies and services to support our citizen-supported data collection needs?CDI● ● ● ● Citizen Science/PPSRAllCollaborate, InnovateWorkshop themes will serve to define breadth of issues/scope; obviously dovetails with/compliments Mobile Science; also links to ‘Big Data’, ‘Open Science’
Science Successes, Challenges, and OpportunitiesFocus on scientists’ ‘user stories’ detailing the use of innovative tools, collaborations, or methods to improve data acquisition, processing, analysis, preservation, or publishing and sharing in support of the USGS science mission, including associated challenges.● What known or perceived technical, policy, or other challenges relating specifically to data inhibit effective research and sharing? ● What emerging ‘use cases’ are driving or defining new directions for USGS research and what will be their data needs?CDI Pair with TNM USGS Science and The National Map● Science Panel ● ● ● Science panel(s) (User Stories/Use Cases)AllCollaborate, integrate, InnovateFairly open ended; meant to capture Science Panel topics, ‘user stories’ detailing use of innovative applications/tools, collaborations in research; known or perceived technical, policy, and other challenges; the place to address ‘use cases’ (to derive needs/requirements, e.g., CMG’s OCM-related work). The emphasis should always be on data/data use/data management/data integration aspects of the science.
⬇ The National Map Users Conference ⬇
Geospatial ResearchLong-term research needs associated with identifying and validating communities of use.● What are the long-term research needs associated with identifying and validating communities of use? ● What are the requirements for information, digital cartographic processes and tools, and automated dataset integration? ●  ●  Technology advances and The National Map. Social media, Volunteer Geographic Information (VGI) and The National Map. The future requirements and services of The National MapTNM Pair with CDI Earth Systems Informatics● ●  ●  ● 
Integration of User Data with The National MapHow user data is integrated and used with The National Map. User product with The National Map as the base map. New data created by integrating user data and The National Map data● How are user data integrated and used with The National Map? ● ● ● TNM● ●  ● ● 
National Elevation Dataset (NED) and 3D Elevation Program (3DEP)NED and transition to 3DEP● What are the issues and benefits associated with enhanced elevaton data? ● What are the inventory issues associated with the transition? ● Status of integration of near-shore elevation and bathymetry. ● Issues and benefits associated with enhanced elevaton data. Elevation inventory issues. Integration of near-shore elevation and bathymetry. Other elevation-related issues.TNM● Elevation Developments ● ● ●
National Hydrography Dataset (NHD), National Elevation Dataset (NED) and Watershed Boundary Dataset (WBD) IntegrationApproach and progress with integrating NHD, NED and WBD● ● ● ● TNMIntegration issues and solutions ● ● ● ●
Relations of The National Map to other Datasets, Platforms and Technology DevelopmentsRelations of The National Map to other datasets and platforms, including Google, Bing, Open Street Map, ESRI, USGS science and others. Mobile devices and technology developments affecting raster, vector, or metadata data collection and acquisition; editing, maintenance, stewardship, analysis, mapping or other use; and processing, management and archiving.TNM● ● ● ●
The National Map Product and Services in User Decision Making and OperationsFocus on Product and Service information sharing and feeback● Individual Product and Service accomplishments. ● Future directions, applications, and other developments. ● ● Individual Product and Service accomplishments, future directions, applications, developments. TNM Viewer and services. US Topo. NHD Progam ReviewTNM● NHD Program Review ● US Topo Developments ● TNM Viewer Developments ● 
The National Map in AlaskaChallenges and solutions of mapping in Alaska● Data sources for The National Map in Alaska. ● The National Map products and services needs in Alaska. ● The National Map applications needs in Alaska. ● What makes Alaska different with respect to The National Map. ● Research needs for Alaska MappingTNM● Alaska Mapping ● ● ●
The National Map Priority Communities of Use Suggest showing the four communities hereCOU meetings, COU applications and user training.● How are users’ needs incorporated into The National Map investments and directions? ● Mutual beneficial relationships with users, partners and The National Map ● User Training ● User applications of The National MapTNM● Geologic Mapping COU (Feedback) ● Hazards COU (Feedback) ● Natural Resources COU (Feedback) ● Water COU (Feedback) ● 
USGS Science and The National MapUse of The National Map Products and Services by USGS and other scientists in research and science investigations.● Use of The National Map Products and Services used by USGS and other scientists in research and science investigations? ● What Science needs--data delivery, viewer services, product services--to facilitate science and research does/can The National Map support?TNM● ● ● ●
⬇ Notes ⬇
NOTES: NOTES: To be edited and appear in Call for Abstracts.NOTES: Potential or illustrative topics best addressed within a given theme. How topics are actually presented (e.g., in a ‘long’ or ‘lightening’ talk, as a poster or demonstration, or by standing in the hallway shouting) is unimportant at this point. To be condensed/reformatted and appear in Call for Abstracts.NOTES: Anticipated level of contribution. Some 'sub-topics', e.g., visualization, may have equal or reversed ratio of contributors. Also note potential for 'pairing' of similar or complimentary themes. By 'paring' we mean (1) look for opportunities to mix presentations and (2) avoid scheduling conflicts.NOTES: Anticipated tracks. Some will be required for 'business reasons', some dictated by final mix of abstracts received.NOTES: Semi-organized by current CDI Workgroups/Teams where noted.NOTES: CDI 'Science Support Framework' model components: ● COP: Communities of practice; ● CTS: Computational tools & services; ● MPS: Management, policy & standards; ● DIA: Data & information assets See also: for more information.NOTES: ● Collaborate; ● Integrate; ● InnovateNOTES: Obviously from CDI perspective but there should be a number of touch points/overlaps with TMN interests; initial parsing/grouping of suggestions takes into account (a) current CDI WG/Team structure and (b) previous/current/anticipated CDI project topics.