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Publications

Browse publications that have a connection to the Community for Data Integration.

Filter Total Items: 44

The U.S. Geological Survey Monthly Water Balance Model Futures Portal

Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and limitations associat
Authors
Andy Bock

USA National Phenology Network gridded products documentation

The goals of the USA National Phenology Network (USA-NPN, www.usanpn.org) are to advance science, inform decisions, and communicate and connect with the public regarding phenology and species’ responses to environmental variation and climate change. The USA-NPN seeks to facilitate informed ecosystem stewardship and management by providing phenological information freely and openly. One way the USA
Authors
Theresa M. Crimmins, R. Lee Marsh, Jeff R. Switzer, Michael A. Crimmins, Katharine L. Gerst, Alyssa H. Rosemartin, Jake F. Weltzin

Community for Data Integration 2015 annual report

The Community for Data Integration (CDI) continued to experience success in fiscal year 2015. The CDI community members have been sharing, learning, and collaborating through monthly forums, workshops, working groups, and funded projects. In fiscal year 2015, CDI coordinated 10 monthly forums with 16 different speakers from the U.S. Geological Survey and external partners; funded 11 collaborative
Authors
Madison L. Langseth, Michelle Y. Chang, Jennifer Carlino, J. Ryan Bellmore, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Daniel D. Buscombe, Jeffrey J. Duda, Anthony L. Everette, Tabitha A. Graves, Michelle M. Greenwood, David L. Govoni, Heather S. Henkel, Vivian B. Hutchison, Brenda K. Jones, Tim Kern, Jennifer Lacey, Rynn M. Lamb, Frances L. Lightsom, John L. Long, Ra'ad A. Saleh, Stan W. Smith, Christopher E. Soulard, Roland J. Viger, Jonathan A. Warrick, Katherine E. Wesenberg, Daniel J. Wieferich, Luke A. Winslow

Dam Removal Information Portal (DRIP)—A map-based resource linking scientific studies and associated geospatial information about dam removals

The removal of dams has recently increased over historical levels due to aging infrastructure, changing societal needs, and modern safety standards rendering some dams obsolete. Where possibilities for river restoration, or improved safety, exceed the benefits of retaining a dam, removal is more often being considered as a viable option. Yet, as this is a relatively new development in the history
Authors
Jeffrey J. Duda, Daniel J. Wieferich, R. Sky Bristol, J. Ryan Bellmore, Vivian B. Hutchison, Katherine M. Vittum, Laura Craig, Jonathan A. Warrick

sbtools: A package connecting R to cloud-based data for collaborative online research

The adoption of high-quality tools for collaboration and reproducible research such as R and Github is becoming more common in many research fields. While Github and other version management systems are excellent resources, they were originally designed to handle code and scale poorly to large text-based or binary datasets. A number of scientific data repositories are coming online and are often f
Authors
Luke Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read

Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application

This report provides an overview of current (2016) U.S. Geological Survey policies and practices related to publishing data on ScienceBase, and an example interactive mapping application to display those data. ScienceBase is an integrated data sharing platform managed by the U.S. Geological Survey. This report describes resources that U.S. Geological Survey Scientists can use for writing data mana
Authors
Katherine J. Chase, Andrew R. Bock, Roy Sando

myScience—Engaging the public in U.S. Geological Survey science

myScience (http://txpub.usgs.gov/myscience/) is a Web application developed by the U.S. Geological Survey (USGS) Texas Water Science Center through a partnership with the USGS Community for Data Integration to address the need for increasing public awareness and participation in existing USGS citizen science projects. The myScience application contains data for 20 projects available for public par
Authors
Sally Holl

Community for Data Integration 2014 annual report

The U.S. Geological Survey (USGS) researches Earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of Earth science research and investigate the use
Authors
Madison L. Langseth, Michelle Y. Chang, Jennifer Carlino, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Craig Conzelmann, Robert H. Diehl, Paul S. Earle, Laura E. Ellison, Anthony L. Everette, Pamela L. Fuller, Janice M. Gordon, David L. Govoni, Michelle R. Guy, Heather S. Henkel, Vivian B. Hutchison, Tim Kern, Frances L. Lightsom, Joseph W. Long, Ryan Longhenry, Todd M. Preston, Stan W. Smith, Roland J. Viger, Katherine Wesenberg, Eric C. Wood

A case study of data integration for aquatic resources using semantic web technologies

Use cases, information modeling, and linked data techniques are Semantic Web technologies used to develop a prototype system that integrates scientific observations from four independent USGS and cooperator data systems. The techniques were tested with a use case goal of creating a data set for use in exploring potential relationships among freshwater fish populations and environmental factors. Th
Authors
Janice M. Gordon, Nina Chkhenkeli, David L. Govoni, Frances L. Lightsom, Andrea C. Ostroff, Peter N. Schweitzer, Phethala Thongsavanh, Dalia E. Varanka, Stephan Zednik

Community for Data Integration 2013 Annual Report

The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate the use o
Authors
Michelle Y. Chang, Jennifer Carlino, Christopher Barnes, David L. Blodgett, Andrew R. Bock, Anthony L. Everette, Gregory L. Fernette, Lorraine E. Flint, Janice M. Gordon, David L. Govoni, Lauren E. Hay, Heather S. Henkel, Megan Hines, Sally L. Holl, Collin G. Homer, Vivian B. Hutchison, Drew A. Ignizio, Tim J. Kern, Frances L. Lightsom, Steven L. Markstrom, Michael S. O'Donnell, Jacquelyn L. Schei, Lorna A. Schmid, Kathryn M. Schoephoester, Peter N. Schweitzer, Susan K. Skagen, Daniel J. Sullivan, Colin Talbert, Meredith Pavlick Warren

Metadata Wizard: an easy-to-use tool for creating FGDC-CSDGM metadata for geospatial datasets in ESRI ArcGIS Desktop

Creating compliant metadata for scientific data products is mandated for all federal Geographic Information Systems professionals and is a best practice for members of the geospatial data community. However, the complexity of the The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata, the limited availability of easy-to-use tools, and recent changes in the ESRI s
Authors
Drew A. Ignizio, Michael S. O'Donnell, Colin B. Talbert

The United States Geological Survey Science Data Lifecycle Model

U.S. Geological Survey (USGS) data represent corporate assets with potential value beyond any immediate research use, and therefore need to be accounted for and properly managed throughout their lifecycle. Recognizing these motives, a USGS team developed a Science Data Lifecycle Model (SDLM) as a high-level view of data—from conception through preservation and sharing—to illustrate how data manage
Authors
John Faundeen, Thomas E. Burley, Jennifer A. Carlino, David L. Govoni, Heather S. Henkel, Sally L. Holl, Vivian B. Hutchison, Elizabeth Martín, Ellyn T. Montgomery, Cassandra Ladino, Steven Tessler, Lisa S. Zolly