Best Practices for Dataset Metadata in Ecological Metadata Language (EML)

Version 3

archived

These recommendations for creating EML metadata documents can be applied to most research datasets published by the environmental sciences community.

Authors

Affiliations

Dan Bahauddin

University of Minnesota

Barbara Benson

Emery Boose

Harvard University

James Brunt

University of New Mexico

Duane Costa

University of New Mexico

Corinna Gries

University of Wisconsin, Madison

Don Henshaw

Oregon State University

Margaret O’Brien

University of California, Santa Barbara

Ken Ramsey

New Mexico State University

Inigo San Gil

University of New Mexico

Mark Servilla

University of New Mexico

Wade Sheldon

Phillip Tarrant

Theresa Valentine

John Vande Castle

Kristin Vanderbilt

University of New Mexico

Jonathan Walsh

Yang Xia

University of Kansas

LTER Network Information Management Committee

Various

Published

November 1, 2017

Abstract

This book presents “best practice” recommendations for creating metadata documents in the Ecological Metadata Language (EML), a widely accepted standard for research metadata exchange in the environmental sciences. The document focuses the most common use-cases for EML and recommends content and formatting for its most important and frequently-used metadata elements. As such, these recommendations can be applied to most research datasets that include EML metadata. There are also recommendations specific to the U.S. LTER Network and Environmental Data Initiative (EDI) repository. This is Version 3 of the book, updated in 2017 by the EML Best Practices working group of the LTER Network Information Management Committee.

Keywords

data management, EML, dataset, research, environmental science, metadata, publishing, guide, repository

Reuse

CC BY 4.0

Citation

BibTeX citation:

@book{bahauddin2017,
  author = {Bahauddin, Dan and Benson, Barbara and Boose, Emery and
    Brunt, James and Costa, Duane and Gries, Corinna and Henshaw, Don
    and O’Brien, Margaret and Ramsey, Ken and San Gil, Inigo and
    Servilla, Mark and Sheldon, Wade and Tarrant, Phillip and Valentine,
    Theresa and Vande Castle, John and Vanderbilt, Kristin and Walsh,
    Jonathan and Xia, Yang and Network Information Management Committee,
    LTER},
  title = {Best {Practices} for {Dataset} {Metadata} in {Ecological}
    {Metadata} {Language} {(EML)}},
  version = {3},
  date = {2017-11-01},
  url = {https://prerelease-edi-docs.netlify.app/guide-eml-bp/archive/},
  doi = {n/a},
  langid = {en},
  abstract = {This book presents “best practice” recommendations for
    creating metadata documents in the Ecological Metadata Language
    (EML), a widely accepted standard for research metadata exchange in
    the environmental sciences. The document focuses the most common
    use-cases for EML and recommends content and formatting for its most
    important and frequently-used metadata elements. As such, these
    recommendations can be applied to most research datasets that
    include EML metadata. There are also recommendations specific to the
    U.S. LTER Network and Environmental Data Initiative (EDI)
    repository. This is Version 3 of the book, updated in 2017 by the
    EML Best Practices working group of the LTER Network Information
    Management Committee.}
}

For attribution, please cite this work as:

Bahauddin, Dan, Barbara Benson, Emery Boose, James Brunt, Duane Costa, Corinna Gries, Don Henshaw, et al. 2017. Best Practices for Dataset Metadata in Ecological Metadata Language (EML) (version 3). Environmental Data Initiative. https://doi.org/n/a.