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Ecological Metadata Language (EML)
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EML Version 1.4.1

Ecological Metadata Language (EML) is a metadata standard developed by the ecology discipline and for the ecology discipline. It is based on prior work done by the Ecological Society of America and associated efforts (Michener et al., 1997, Ecological Applications). EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document ecological data. Each EML module is designed to describe one logical part of the total metadata that should be included with any ecological dataset.

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EML Version 1.4.1 Modules

Version 1.4.1 is a direct translation of the Michener et. al. paper on ecological metadata.

 

Version 1.4.1 Descriptions

Access

  • General Description: Data set accesability
  • Example fields: storage location, contact, copyright, access, standard citation, disclaimer , fees.
  • Notes: This module includes all information needed for a user to acquire the dataset it describes.

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Context

  • General Description: Research origin descriptors
  • Example fields: title, originator, temporal description, objectives, abstract, funding, site description, design description, methods description, staff.
  • Notes: Describes the origin of this dataset.

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Dataset

  • General Description: Data set descriptors and package
  • Example fields: dataset id, title, originator, abstract, keyword info, relations.
  • Notes: Describes the person or organization who controls this dataset, as well as academic information such as the abstract of the proposal and keyword information.

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File

  • General Description: Date structure descriptors
  • Example fields: filename, file size, format, orientation, header info, temporal/spatial coverage, authentication, data problems.
  • Notes: Information on how this dataset is stored.

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Software

  • General Description: Software descriptors
  • Example fields: title, abstract, version number, developer, source module, binary file, software location, programming language, operating system, system requirements.
  • Notes: Description of any software used or developed in the creation of this dataset.

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Status

  • General Description: Dataset status
  • Example fields: data update date, data archive date , metadata update date, qa/qc status.
  • Notes: Current status of this dataset. When it was last updated, if it has been through a qa/qc process, when it was last archived, etc.

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Supplement

  • General Description: Supplemental descriptors
  • Example fields: data forms, entry verification, quality assurance, related material, archival procedures, archival sites, publications, data request, review history, remarks.
  • Notes: Extra information not included in other modules.

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Variable

  • General Description: Variable descriptors
  • Example fields: variable name, variable definition, unit, storage type, code definition , numeric range , missing value code, precision, field format.
  • Notes: Information on range, domain and precision of variables in this dataset.

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