Data Package Summary    View Full Metadata

  • Data Package Design for Special Cases
  • Gries, Corinna
    Beaulieu, Stace
    Brown, Renee F
    Elmendorf, Sarah
    Garritt, Hap
    Gastil-Buhl, Gastil
    Hsieh, Hsun-Yi
    Kui, Li
    Martin, Mary
    Maurer, Greg
    Nguyen, An T
    Porter, John H
    Sapp, Adam
    Servilla, Mark
    Whiteaker, Timothy L
  • 2021-02-19
  • Gries, C., S. Beaulieu, R.F. Brown, S. Elmendorf, H. Garritt, G. Gastil-Buhl, H. Hsieh, L. Kui, M. Martin, G. Maurer, A.T. Nguyen, J.H. Porter, A. Sapp, M. Servilla, and T.L. Whiteaker. 2021. Data Package Design for Special Cases ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052 (Accessed 2024-09-15).
  • In this document we consider special cases for archiving research data based on their data type, format, or acquisition method, and recommend practices that ensure optimal re-usability of the data. Most recommendations here are aimed at improving documentation of data acquisition and processing to avoid misinterpretation. This includes the recommendation to publish raw data and/or processing code along with the data products. Others are aimed at usability in terms of data size/volume or connecting related data. Some recommendations involve including a metadata document formatted according to a new and emerging standard (e.g., codeMeta) or a data inventory table. Data inventory tables can cross the line between metadata and data and are intended to improve discoverability and navigation of archived data.

  • edi.726.1  (Uploaded 2021-02-19)  
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • https://doi.org/10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052
EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo