Tamar Norkin
Tamar Norkin is a data manager with the Science Data Management branch of the Science Analytics and Synthesis program. She helps develop and support the process of data publication in the USGS and is the product manager of the USGS Metadata Wizard tool.
Professional Experience
Data Manager - Biologist, Science Data Management Branch, USGS (2012 - Present)
Education and Certifications
Amherst College, Amherst, MA
B.A. in Biology (2003)University of Maryland, College Park, MD
M.S. in Sustainable Development and Conservation Biology (2008)
Science and Products
USGS State of the Data Project: Rubric and Assessment Data
The FAIR Principles (Findable, Accessible, Interoperable, and Reusable) provide a concise and measurable strategy for optimizing the reuse of scientific data (Wilkinson et al., 2016).
In FY20, the U.S. Geological Survey initiated a research study, titled "State of the Data", to evaluate and report on the current FAIRness of USGS data. Project outputs include the USGS FAIR Rubric, which can be use
State of the data: Assessing the FAIRness of USGS data
In response to recent shifts towards open science that emphasize transparency, reproducibility, and access to research data, the US Geological Survey (USGS) conducted a study to assess the degree to which USGS data assets meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). The USGS designed and applied a methodology for quantitative analysis of FAIR characteristics.
Authors
Vivian B. Hutchison, Tamar Norkin, Lisa Zolly, Leslie Hsu
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
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
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2015 annual report
This is the eighth annual report highlighting U.S. Geological Survey (USGS) science and decision-support activities conducted for the Wyoming Landscape Conservation Initiative (WLCI). The activities address specific management needs identified by WLCI partner agencies. In 2015, USGS scientists continued 24 WLCI projects in 5 categories: (1) acquiring and analyzing resource-condition data to form a
Authors
Zachary H. Bowen, Cameron L. Aldridge, Patrick J. Anderson, Timothy J. Assal, Timothy T. Bartos, Anna D. Chalfoun, Geneva W. Chong, Marie K. Dematatis, Cheryl A. Eddy-Miller, Steven L. Garman, Stephen S. Germaine, Collin G. Homer, Matthew J. Kauffman, Christopher C. Huber, Daniel J. Manier, Cynthia P. Melcher, Kirk A. Miller, Tamar Norkin, Lindsey E. Sanders, Annika W. Walters, Anna B. Wilson, Teal B. Wyckoff
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.
Science and Products
USGS State of the Data Project: Rubric and Assessment Data
The FAIR Principles (Findable, Accessible, Interoperable, and Reusable) provide a concise and measurable strategy for optimizing the reuse of scientific data (Wilkinson et al., 2016).
In FY20, the U.S. Geological Survey initiated a research study, titled "State of the Data", to evaluate and report on the current FAIRness of USGS data. Project outputs include the USGS FAIR Rubric, which can be use
State of the data: Assessing the FAIRness of USGS data
In response to recent shifts towards open science that emphasize transparency, reproducibility, and access to research data, the US Geological Survey (USGS) conducted a study to assess the degree to which USGS data assets meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). The USGS designed and applied a methodology for quantitative analysis of FAIR characteristics.
Authors
Vivian B. Hutchison, Tamar Norkin, Lisa Zolly, Leslie Hsu
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
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
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2015 annual report
This is the eighth annual report highlighting U.S. Geological Survey (USGS) science and decision-support activities conducted for the Wyoming Landscape Conservation Initiative (WLCI). The activities address specific management needs identified by WLCI partner agencies. In 2015, USGS scientists continued 24 WLCI projects in 5 categories: (1) acquiring and analyzing resource-condition data to form a
Authors
Zachary H. Bowen, Cameron L. Aldridge, Patrick J. Anderson, Timothy J. Assal, Timothy T. Bartos, Anna D. Chalfoun, Geneva W. Chong, Marie K. Dematatis, Cheryl A. Eddy-Miller, Steven L. Garman, Stephen S. Germaine, Collin G. Homer, Matthew J. Kauffman, Christopher C. Huber, Daniel J. Manier, Cynthia P. Melcher, Kirk A. Miller, Tamar Norkin, Lindsey E. Sanders, Annika W. Walters, Anna B. Wilson, Teal B. Wyckoff
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.