Madison L. Langseth
Madison is a science data manager at the U.S. Geological Survey.
She develops tools and workflows to make the ScienceBase data release process more efficient for researchers and data managers. She also promotes data management best practices through the USGS’s Community for Data Integration Data Management Working Group and the USGS Data Management Website. Madison is responsible for maintaining the ScienceBase Data Release Tool and the Digital Object Identifier Tool.
Professional Experience
2014 - Present: Data Manager - Biologist, USGS Science Analytics and Synthesis
2011 - 2013: Volunteer, United States Peace Corps
2008 - 2011: Biologist, WLA Consulting, Inc.
Education and Certifications
2013 - 2015: Master of Information Science, University of Tennessee, Knoxville, TN
2004 - 2008: Bachelor of Arts in Biology, Grinnell College, IA
Affiliations and Memberships*
American Geophysical Union (AGU)
Science and Products
Beginners Git, GitLab & Software Release Carpentries-like Training for USGS Personnel to Facilitate Open Science
Teach USGS personnel Git within code.usgs.gov to develop, track, share, and publish their code.
U.S. Geological Survey Data Citation Analysis, 2016-2022
In 2022, publication and data linkages were evaluated using two methods in an effort to understand how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) since the 2016 USGS instructional memorandum, Public Access to Results of Federally Funded Research at the U.S. Geological Survey: Scholarly Publications and Digital Data (USGS OSQI, 2016), went into effect, requir
U.S. Geological Survey 2021 Data Management Planning Survey Results and Analyses
In 2021, the U.S. Geological Survey's (USGS) Science Data Management Team distributed four surveys related to Data Management Plans (DMPs) and Data Management Planning to USGS researchers, data managers and information technologists, Center Directors, and Program Coordinators and Bureau Approving Officials. This data release includes survey results with redactions (to allow survey participants to
Data on the Deliverables, Sustainability, and Collaboration of Community for Data Integration Projects from 2010-2016
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 f
Filter Total Items: 13
Assessing the value and usage of data management planning and data management plans within the U.S. Geological Survey
As of 2016, the U.S. Geological Survey (USGS) Fundamental Science Practices require data management plans (DMPs) for all USGS and USGS-funded research. The USGS Science Data Management Branch of the Science Analytics and Synthesis Program has been working to help the USGS (Bureau) meet this requirement. However, USGS researchers still encounter common data management-related challenges that may be
Authors
Madison Langseth, Elizabeth Sellers, Grace C. Donovan, Amanda N. Liford
Credit where credit is due
Credit is the currency of science. Scientists are evaluated and promoted in their jobs and professional communities on the basis of their recognized contributions to science. Unlike a financial contribution, a scientific contribution is difficult to measure. Traditionally, credit for scientific contributions has been given through authorship and citations in scientific literature as well as awards
Authors
Mark A. Parsons, Daniel S. Katz, Madison Langseth, Hampapuram Ramapriyan, Sarah Ramdeen
Credit where credit is due
Credit is the currency of science. Scientists are evaluated and promoted in their jobs and professional communities on the basis of their recognized contributions to science. Unlike a financial contribution, a scientific contribution is difficult to measure. Traditionally, credit for scientific contributions has been given through authorship and citations in scientific literature as well as awards
Authors
Mark A. Parsons, Daniel S. Katz, Madison Langseth, Hampapuram Ramapriyan, Sarah Ramdeen
Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey
As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data product, known as a USGS data release, serves as a
Authors
Vivian B. Hutchison, Tamar Norkin, Madison Langseth, Drew Ignizio, Lisa Zolly, Ricardo McClees-Funinan, Amanda N. Liford
USGS enterprise tools for efficient and effective management of science data
The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management Lifecycle by facilitating quality assurance, description,
Authors
Vivian B. Hutchison, Amanda Liford, Ricardo McClees-Funinan, Lisa Zolly, Drew Ignizio, Madison Langseth, Brandon Serna, Elizabeth Sellers, Leslie Hsu, Tamar Norkin, Marcia McNiff, Grace C. Donovan
Measuring sustainability of seed-funded Earth science informatics projects
Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that have more published work in sustainability of proj
Authors
Leslie Hsu, Vivian B. Hutchison, Madison Langseth
Community for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations, activities, collaboration areas, workshop, and other CDI-sp
Authors
Leslie Hsu, Madison L. Langseth
U.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Executive SummaryThe U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps for
Authors
Leslie Hsu, Vivian B. Hutchison, Madison L. Langseth, Benjamin Wheeler
Development and release of phenological data products—A case study in compliance with federal open data policy
In Autumn 2015, USA National Phenology Network (USA-NPN) staff implemented new U.S. Geological Survey (USGS) data-management policies intended to ensure that the results of Federally funded research are made available to the public. The effort aimed both to improve USA-NPN data releases and to provide a model for similar programs within the USGS. This report provides an overview of the steps taken
Authors
Alyssa H. Rosemartin, Madison L. Langseth, Theresa Crimmins, Jake F. Weltzin
Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponso
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
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
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
PubLink
Understanding how data are used across the scientific community provides many benefits to data authors, including building a better awareness and comprehension of 1) a dataset's scientific impact, 2) use cases to direct future versions, and 3) related efforts. Effectively tracking when and how data are used in the literature through time can be challenging. This is in part due to a lack of consis
Science and Products
- Science
Beginners Git, GitLab & Software Release Carpentries-like Training for USGS Personnel to Facilitate Open Science
Teach USGS personnel Git within code.usgs.gov to develop, track, share, and publish their code. - Data
U.S. Geological Survey Data Citation Analysis, 2016-2022
In 2022, publication and data linkages were evaluated using two methods in an effort to understand how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) since the 2016 USGS instructional memorandum, Public Access to Results of Federally Funded Research at the U.S. Geological Survey: Scholarly Publications and Digital Data (USGS OSQI, 2016), went into effect, requirU.S. Geological Survey 2021 Data Management Planning Survey Results and Analyses
In 2021, the U.S. Geological Survey's (USGS) Science Data Management Team distributed four surveys related to Data Management Plans (DMPs) and Data Management Planning to USGS researchers, data managers and information technologists, Center Directors, and Program Coordinators and Bureau Approving Officials. This data release includes survey results with redactions (to allow survey participants toData on the Deliverables, Sustainability, and Collaboration of Community for Data Integration Projects from 2010-2016
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 f - Publications
Filter Total Items: 13
Assessing the value and usage of data management planning and data management plans within the U.S. Geological Survey
As of 2016, the U.S. Geological Survey (USGS) Fundamental Science Practices require data management plans (DMPs) for all USGS and USGS-funded research. The USGS Science Data Management Branch of the Science Analytics and Synthesis Program has been working to help the USGS (Bureau) meet this requirement. However, USGS researchers still encounter common data management-related challenges that may beAuthorsMadison Langseth, Elizabeth Sellers, Grace C. Donovan, Amanda N. LifordCredit where credit is due
Credit is the currency of science. Scientists are evaluated and promoted in their jobs and professional communities on the basis of their recognized contributions to science. Unlike a financial contribution, a scientific contribution is difficult to measure. Traditionally, credit for scientific contributions has been given through authorship and citations in scientific literature as well as awardsAuthorsMark A. Parsons, Daniel S. Katz, Madison Langseth, Hampapuram Ramapriyan, Sarah RamdeenCredit where credit is due
Credit is the currency of science. Scientists are evaluated and promoted in their jobs and professional communities on the basis of their recognized contributions to science. Unlike a financial contribution, a scientific contribution is difficult to measure. Traditionally, credit for scientific contributions has been given through authorship and citations in scientific literature as well as awardsAuthorsMark A. Parsons, Daniel S. Katz, Madison Langseth, Hampapuram Ramapriyan, Sarah RamdeenLeveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey
As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data product, known as a USGS data release, serves as aAuthorsVivian B. Hutchison, Tamar Norkin, Madison Langseth, Drew Ignizio, Lisa Zolly, Ricardo McClees-Funinan, Amanda N. LifordUSGS enterprise tools for efficient and effective management of science data
The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management Lifecycle by facilitating quality assurance, description,AuthorsVivian B. Hutchison, Amanda Liford, Ricardo McClees-Funinan, Lisa Zolly, Drew Ignizio, Madison Langseth, Brandon Serna, Elizabeth Sellers, Leslie Hsu, Tamar Norkin, Marcia McNiff, Grace C. DonovanMeasuring sustainability of seed-funded Earth science informatics projects
Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that have more published work in sustainability of projAuthorsLeslie Hsu, Vivian B. Hutchison, Madison LangsethCommunity for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations, activities, collaboration areas, workshop, and other CDI-spAuthorsLeslie Hsu, Madison L. LangsethU.S. Geological Survey Community for Data Integration 2017 Workshop Proceedings
Executive SummaryThe U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held May 16–19, 2017 at the Denver Federal Center. There were 183 in-person attendees and 35 virtual attendees over four days. The theme of the workshop was “Enabling Integrated Science,” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forAuthorsLeslie Hsu, Vivian B. Hutchison, Madison L. Langseth, Benjamin WheelerDevelopment and release of phenological data products—A case study in compliance with federal open data policy
In Autumn 2015, USA National Phenology Network (USA-NPN) staff implemented new U.S. Geological Survey (USGS) data-management policies intended to ensure that the results of Federally funded research are made available to the public. The effort aimed both to improve USA-NPN data releases and to provide a model for similar programs within the USGS. This report provides an overview of the steps takenAuthorsAlyssa H. Rosemartin, Madison L. Langseth, Theresa Crimmins, Jake F. WeltzinCommunity for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsoAuthorsMadison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-MyersCommunity 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 collaborativeAuthorsMadison 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. WinslowCommunity 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 useAuthorsMadison 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 - Software
PubLink
Understanding how data are used across the scientific community provides many benefits to data authors, including building a better awareness and comprehension of 1) a dataset's scientific impact, 2) use cases to direct future versions, and 3) related efforts. Effectively tracking when and how data are used in the literature through time can be challenging. This is in part due to a lack of consis - News
*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