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Jennifer M Bayer (Former Employee)

Science and Products

Filter Total Items: 28

Salmon data mobilization Salmon data mobilization

Despite substantial research and conservation efforts, many salmon populations are in decline. Globally, salmon research is not delivering effective decision support products to help managers apply research insights as informed management actions. Data Mobilization (DM) is a key step towards building the wider evidence base required to deliver accountable, reliable, and usable scientific...
Authors
Graeme Diack, Tom Bird, Scott A. Akenhead, Jennifer M. Bayer, Deirdre Brophy, Colin Bull, Elvira de Eyto, Nora Hanson, Brett T. Johnson, Matt Jones, Alexis Knight, Marie Nevoux, Tim van der Strap, Alan Walker

Standard data management practices Standard data management practices

No abstract available.
Authors
Rebecca Krogman, Jennifer M. Bayer, Arthur Cooper, Jeff Kopaska, Nancy J. Leonard, Jeremy Pritt, Colleen Roe, Erin Tracy, Paul A. Venturelli, Daniel J. Wieferich, Dana M. Infante
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Forest and Rangeland Ecosystem Science Center

A data exchange standard for wadeable stream habitat monitoring data A data exchange standard for wadeable stream habitat monitoring data

Data from wadeable streams collected by monitoring programs are used to assess watershed condition status and trends. Federally managed programs collect a suite of similar habitat measurements using compatible methods and produce individual program datasets for their prescribed geographic and temporal range. We identified four programs that produce similar data: the Bureau of Land...
Authors
Rebecca A. Scully, Erin K. Dlabola, Jennifer M. Bayer, Emily Heaston, Jennifer Courtwright, Marcia N. Snyder, David Hockman-Wert, W. Carl Saunders, Karen A. Blocksom, Christine Hirsch, Scott W. Miller
By
Ecosystems Mission Area, Forest and Rangeland Ecosystem Science Center

Sharing FAIR monitoring program data improves discoverability and reuse Sharing FAIR monitoring program data improves discoverability and reuse

Data resulting from environmental monitoring programs are valuable assets for natural resource managers, decision-makers, and researchers. These data are often collected to inform specific reporting needs or decisions with a specific timeframe. While program-oriented data and related publications are effective for meeting program goals, sharing well-documented data and metadata allows...
Authors
Jennifer M. Bayer, Rebecca A Scully, Erin K. Dlabola, Jennifer L Courtwright, Christine L Hirsch, David P Hockman-Wert, Scott W. Miller, Brett B. Roper, W. Carl Saunders, Marcia N Snyder
By
Ecosystems Mission Area, Forest and Rangeland Ecosystem Science Center

Identifying monitoring information needs that support the management of fish in large rivers Identifying monitoring information needs that support the management of fish in large rivers

Management actions intended to benefit fish in large rivers can directly or indirectly affect multiple ecosystem components. Without consideration of the effects of management on non-target ecosystem components, unintended consequences may limit management efficacy. Monitoring can help clarify the effects of management actions, including on non-target ecosystem components, but only if...
Authors
Timothy D. Counihan, Kristen L. Bouska, Shannon K. Brewer, R. B. Jacobson, Andrew F. Casper, Colin G. Chapman, Ian R. Waite, Kenneth R. Sheehan, Mark Pyron, Elise R. Irwin, Karen Riva-Murray, Alexa McKerrow, Jennifer M. Bayer
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Species Management Research Program, New York Water Science Center, Oregon Water Science Center, Upper Midwest Water Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Citing aquatic monitoring data sets: Best practice recommendations for authoritative data citation Citing aquatic monitoring data sets: Best practice recommendations for authoritative data citation

The use of data generated from long term monitoring efforts necessitates accurate authoritative source citations of those data to ensure credit for data collected, and accountability for the data quality to enable repeated retrieval of a given data set. Data sets used in published reports and articles are increasingly being considered objects that are required to be published and cited
Authors
Sheryn J. Olson, Katie A Barnas, Margaret Williams, Christopher Wheaton, Michael Banach, Jennifer M. Bayer

Non-USGS Publications**

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

USGS science for a changing world logo

Developing APIs to support enterprise level monitoring using existing tools

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...
By
Community for Data Integration (CDI)
Developing APIs to support enterprise level monitoring using existing tools

Developing APIs to support enterprise level monitoring using existing tools

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
Learn More
USGS science for a changing world logo

Facilitating Knowledge Integration with a Monitoring Protocol Registry

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...
By
Community for Data Integration (CDI)
Facilitating Knowledge Integration with a Monitoring Protocol Registry

Facilitating Knowledge Integration with a Monitoring Protocol Registry

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
Learn More

Wadeable stream habitat data integrated from multiple monitoring programs for the US from 2000-2022 Wadeable stream habitat data integrated from multiple monitoring programs for the US from 2000-2022

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard. The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data...
By
Forest and Rangeland Ecosystem Science Center
No results found.
USGS Launches New Inter-Regional Partnership with Four Interstate Fisheries Commissions

USGS Launches New Inter-Regional Partnership with Four Interstate Fisheries Commissions

Fish don’t obey lines on a map, so at WFRC we are working to create cross-regional partnerships to improve delivery of our science.

Read Article
A data exchange standard for wadeable stream habitat monitoring data

A data exchange standard for wadeable stream habitat monitoring data

Do you collect data from wadeable streams? The Pacific Northwest Aquatic Monitoring Partnership developed a new USGS Techniques & Methods publication...

Read Article

Science and Products

Filter Total Items: 28

Salmon data mobilization Salmon data mobilization

Despite substantial research and conservation efforts, many salmon populations are in decline. Globally, salmon research is not delivering effective decision support products to help managers apply research insights as informed management actions. Data Mobilization (DM) is a key step towards building the wider evidence base required to deliver accountable, reliable, and usable scientific...
Authors
Graeme Diack, Tom Bird, Scott A. Akenhead, Jennifer M. Bayer, Deirdre Brophy, Colin Bull, Elvira de Eyto, Nora Hanson, Brett T. Johnson, Matt Jones, Alexis Knight, Marie Nevoux, Tim van der Strap, Alan Walker

Standard data management practices Standard data management practices

No abstract available.
Authors
Rebecca Krogman, Jennifer M. Bayer, Arthur Cooper, Jeff Kopaska, Nancy J. Leonard, Jeremy Pritt, Colleen Roe, Erin Tracy, Paul A. Venturelli, Daniel J. Wieferich, Dana M. Infante
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Forest and Rangeland Ecosystem Science Center

A data exchange standard for wadeable stream habitat monitoring data A data exchange standard for wadeable stream habitat monitoring data

Data from wadeable streams collected by monitoring programs are used to assess watershed condition status and trends. Federally managed programs collect a suite of similar habitat measurements using compatible methods and produce individual program datasets for their prescribed geographic and temporal range. We identified four programs that produce similar data: the Bureau of Land...
Authors
Rebecca A. Scully, Erin K. Dlabola, Jennifer M. Bayer, Emily Heaston, Jennifer Courtwright, Marcia N. Snyder, David Hockman-Wert, W. Carl Saunders, Karen A. Blocksom, Christine Hirsch, Scott W. Miller
By
Ecosystems Mission Area, Forest and Rangeland Ecosystem Science Center

Sharing FAIR monitoring program data improves discoverability and reuse Sharing FAIR monitoring program data improves discoverability and reuse

Data resulting from environmental monitoring programs are valuable assets for natural resource managers, decision-makers, and researchers. These data are often collected to inform specific reporting needs or decisions with a specific timeframe. While program-oriented data and related publications are effective for meeting program goals, sharing well-documented data and metadata allows...
Authors
Jennifer M. Bayer, Rebecca A Scully, Erin K. Dlabola, Jennifer L Courtwright, Christine L Hirsch, David P Hockman-Wert, Scott W. Miller, Brett B. Roper, W. Carl Saunders, Marcia N Snyder
By
Ecosystems Mission Area, Forest and Rangeland Ecosystem Science Center

Identifying monitoring information needs that support the management of fish in large rivers Identifying monitoring information needs that support the management of fish in large rivers

Management actions intended to benefit fish in large rivers can directly or indirectly affect multiple ecosystem components. Without consideration of the effects of management on non-target ecosystem components, unintended consequences may limit management efficacy. Monitoring can help clarify the effects of management actions, including on non-target ecosystem components, but only if...
Authors
Timothy D. Counihan, Kristen L. Bouska, Shannon K. Brewer, R. B. Jacobson, Andrew F. Casper, Colin G. Chapman, Ian R. Waite, Kenneth R. Sheehan, Mark Pyron, Elise R. Irwin, Karen Riva-Murray, Alexa McKerrow, Jennifer M. Bayer
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Species Management Research Program, New York Water Science Center, Oregon Water Science Center, Upper Midwest Water Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Citing aquatic monitoring data sets: Best practice recommendations for authoritative data citation Citing aquatic monitoring data sets: Best practice recommendations for authoritative data citation

The use of data generated from long term monitoring efforts necessitates accurate authoritative source citations of those data to ensure credit for data collected, and accountability for the data quality to enable repeated retrieval of a given data set. Data sets used in published reports and articles are increasingly being considered objects that are required to be published and cited
Authors
Sheryn J. Olson, Katie A Barnas, Margaret Williams, Christopher Wheaton, Michael Banach, Jennifer M. Bayer

Non-USGS Publications**

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

USGS science for a changing world logo

Developing APIs to support enterprise level monitoring using existing tools

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...
By
Community for Data Integration (CDI)
Developing APIs to support enterprise level monitoring using existing tools

Developing APIs to support enterprise level monitoring using existing tools

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
Learn More
USGS science for a changing world logo

Facilitating Knowledge Integration with a Monitoring Protocol Registry

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...
By
Community for Data Integration (CDI)
Facilitating Knowledge Integration with a Monitoring Protocol Registry

Facilitating Knowledge Integration with a Monitoring Protocol Registry

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
Learn More

Wadeable stream habitat data integrated from multiple monitoring programs for the US from 2000-2022 Wadeable stream habitat data integrated from multiple monitoring programs for the US from 2000-2022

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard. The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data...
By
Forest and Rangeland Ecosystem Science Center
No results found.
USGS Launches New Inter-Regional Partnership with Four Interstate Fisheries Commissions

USGS Launches New Inter-Regional Partnership with Four Interstate Fisheries Commissions

Fish don’t obey lines on a map, so at WFRC we are working to create cross-regional partnerships to improve delivery of our science.

Read Article
A data exchange standard for wadeable stream habitat monitoring data

A data exchange standard for wadeable stream habitat monitoring data

Do you collect data from wadeable streams? The Pacific Northwest Aquatic Monitoring Partnership developed a new USGS Techniques & Methods publication...

Read Article

*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government

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