Data Package Design for Special Cases

Version 1.1

published
Community-developed considerations for creating well-designed datasets that include data specialized by type, format, or acquisition method. Examples are images, code, documents, and raw data in other repositories.
Authors
Affiliations

Corinna Gries

University of Wisconsin, Madison

Stace Beaulieu

Woods Hole Oceanographic Institute

Renée F. Brown

University of New Mexico

Sarah Elmendorf

University of Colorado Boulder

Hap Garritt

Woods Hole Oceanographic Institute

Gastil Gastil-Buhl

University of California Santa Barbara

Hsun-Yi Hseih

Michigan State University

Li Kui

University of California Santa Barbara

Mary Martin

University of New Hampshire

Gregory E. Maurer

New Mexico State University

An T. Nguyen

University of Texas at Austin

John H. Porter

University of Virginia

Adam Sapp

University of Georgia

Mark Servilla

University of New Mexico

Tim Whiteaker

University of Texas at Austin

LTER Network Information Management Committee

Various

Published

February 19, 2021

Abstract
This book covers considerations for creating well-designed datasets for publishing data types outside the most common cases for research data. Specialized needs for preparing and publishing a dataset may arise because the data are not tabular in structure, are stored in non-standard file formats, are collected with unique or new acquisition methods, or are large in size. Some examples of specialized data types described here are imagery, code, document archives, spatial data files, and raw genomic data stored in other repositories. This is the first version of the book, written and edited in 2019 through 2021 by the Non-tabular Data Working Group of the U.S. LTER Network Information Management Committee. Minor edits and reformatting took place in 2021, 2022 and 2024 to produce this current online version (Version 1.1).
Keywords

data management, EML, dataset, imagery, big data, documents, drone, code, research, environmental science, metadata, publishing, guide, repository

Reuse

Citation

BibTeX citation:
@book{gries2021,
  author = {Gries, Corinna and Beaulieu, Stace and F. Brown, Renée and
    Elmendorf, Sarah and Garritt, Hap and Gastil-Buhl, Gastil and Hseih,
    Hsun-Yi and Kui, Li and Martin, Mary and E. Maurer, Gregory and T.
    Nguyen, An and H. Porter, John and Sapp, Adam and Servilla, Mark and
    Whiteaker, Tim and Network Information Management Committee, LTER},
  title = {Data {Package} {Design} for {Special} {Cases}},
  version = {1.1},
  date = {2021-02-19},
  url = {https://prerelease-edi-docs.netlify.app/guide-special-cases/},
  doi = {10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052},
  langid = {en},
  abstract = {This book covers considerations for creating well-designed
    datasets for publishing data types outside the most common cases for
    research data. Specialized needs for preparing and publishing a
    dataset may arise because the data are not tabular in structure, are
    stored in non-standard file formats, are collected with unique or
    new acquisition methods, or are large in size. Some examples of
    specialized data types described here are imagery, code, document
    archives, spatial data files, and raw genomic data stored in other
    repositories. This is the first version of the book, written and
    edited in 2019 through 2021 by the Non-tabular Data Working Group of
    the U.S. LTER Network Information Management Committee. Minor edits
    and reformatting took place in 2021, 2022 and 2024 to produce this
    current online version (Version 1.1).}
}
For attribution, please cite this work as:
Gries, Corinna, Stace Beaulieu, Renée F. Brown, et al. 2021. Data Package Design for Special Cases. In Environmental Data Initiative, version 1.1. https://doi.org/10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052.