Provenance Generator

Provenance metadata should be included in a derived data package to document its sources. This can be accomplished by adding a separate <methodStep> element in the derived data package for each of the source data packages from which it is derived.

A data package derived from edi.1074.1 as one of its source data packages should include the <methodStep> element shown below as a sub-element within its <methods> element.


Method Step

Description

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source

Title
Food-chain length in desert streams of central and southern Arizona, USA

Creator
Individual Name: Tamara Harms
Organization Name:University of Alaska Fairbanks
Email:tamara.harms@alaska.edu
User Id:0000-0001-7845-1109

Creator
Individual Name: John Sabo
Organization Name:Tulane University
Email:jsabo1@tulane.edu
User Id:0000-0001-5259-0709

Creator
Individual Name: Leah Gaines-Sewell
Organization Name:Arizona State University
Email:Leah.gaines-sewell@asu.edu
User Id:0000-0001-9352-0766

Distribution
Online Description:This online link references an EML document that describes data used in the creation of this derivative data package.
URL:https://pasta-d.lternet.edu/package/metadata/eml/edi/1074/1

Contact
Organization Name:Julie Ann Wrigley Global Institute of Sustainability and Innovation, Arizona State University
Position Name:Data Manager
Address:Arizona State University
Global Institute of Sustainability and Innovation
Tempe
AZ
85287-5402
USA
Email:caplter.data@asu.edu
Online URL:https://researchdata.asu.edu/
<?xml version="1.0" encoding="UTF-8"?>
<methodStep>
   <description>
      <para>This method step describes provenance-based metadata as specified in the LTER EML Best Practices.</para>
      <para>This provenance metadata does not contain entity specific information.</para>
   </description>
   <dataSource>
      <title>Food-chain length in desert streams of central and southern Arizona, USA</title>
      <creator>
         <individualName>
            <givenName>Tamara</givenName>
            <surName>Harms</surName>
         </individualName>
         <organizationName>University of Alaska Fairbanks</organizationName>
         <electronicMailAddress>tamara.harms@alaska.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0001-7845-1109</userId>
      </creator>
      <creator>
         <individualName>
            <givenName>John</givenName>
            <surName>Sabo</surName>
         </individualName>
         <organizationName>Tulane University</organizationName>
         <electronicMailAddress>jsabo1@tulane.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0001-5259-0709</userId>
      </creator>
      <creator>
         <individualName>
            <givenName>Leah</givenName>
            <surName>Gaines-Sewell</surName>
         </individualName>
         <organizationName>Arizona State University</organizationName>
         <electronicMailAddress>Leah.gaines-sewell@asu.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0001-9352-0766</userId>
      </creator>
      <distribution>
         <online>
            <onlineDescription>This online link references an EML document that describes data used in the creation of this derivative data package.</onlineDescription>
            <url function="information">https://pasta-d.lternet.edu/package/metadata/eml/edi/1074/1</url>
         </online>
      </distribution>
      <contact>
         <organizationName>Julie Ann Wrigley Global Institute of Sustainability and Innovation, Arizona State University</organizationName>
         <positionName>Data Manager</positionName>
         <address>
            <deliveryPoint>Arizona State University</deliveryPoint>
            <deliveryPoint>Global Institute of Sustainability and Innovation</deliveryPoint>
            <city>Tempe</city>
            <administrativeArea>AZ</administrativeArea>
            <postalCode>85287-5402</postalCode>
            <country>USA</country>
         </address>
         <electronicMailAddress>caplter.data@asu.edu</electronicMailAddress>
         <onlineUrl>https://researchdata.asu.edu/</onlineUrl>
      </contact>
   </dataSource>
</methodStep>

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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