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.1552.3 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
N cycling summary 2020-2022 of annually burned bison, cattle and ungrazed experimental watersheds on upland tallgrass prairie soils at the Konza Prairie Biological Station

Creator
Individual Name: Lydia H Zeglin
Organization Name:Kansas State University
Position Name:Associate Professor
Address:1717 Claflin Rd , 116 Ackert Hall
Manhattan
Kansas
66502
United States
Phone - (voice): (785) 532-5579
Email:lzeglin@ksu.edu
User Id:0000-0003-2907-0742

Creator
Individual Name: Nicholas Vega Anguiano
Organization Name:Kansas State University
Position Name:Graduate Research Assistant
Email:nicova@ksu.edu
User Id:0009-0002-8199-0730

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-s.lternet.edu/package/metadata/eml/edi/1552/3

Contact
Individual Name: Nicholas Vega Anguiano
Organization Name:Kansas State University
Position Name:Graduate Research Assistant
Email:nicova@ksu.edu
User Id:0009-0002-8199-0730
<?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>N cycling summary 2020-2022 of annually burned bison, cattle and ungrazed experimental watersheds on upland tallgrass prairie soils at the Konza Prairie Biological Station</title>
<creator>
         <individualName>
            <givenName>Lydia</givenName>
            <givenName>H</givenName>
            <surName>Zeglin</surName>
         </individualName>
         <organizationName>Kansas State University</organizationName>
         <positionName>Associate Professor</positionName>
         <address>
            <deliveryPoint>1717 Claflin Rd , 116 Ackert Hall</deliveryPoint>
            <city>Manhattan</city>
            <administrativeArea>Kansas</administrativeArea>
            <postalCode>66502</postalCode>
            <country>United States</country>
         </address>
         <phone phonetype="voice">(785) 532-5579</phone>
         <electronicMailAddress>lzeglin@ksu.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0003-2907-0742</userId>
      </creator>
<creator>
         <individualName>
            <givenName>Nicholas</givenName>
            <surName>Vega Anguiano</surName>
         </individualName>
         <organizationName>Kansas State University</organizationName>
         <positionName>Graduate Research Assistant</positionName>
         <electronicMailAddress>nicova@ksu.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0009-0002-8199-0730</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-s.lternet.edu/package/metadata/eml/edi/1552/3</url>
</online>
</distribution>
<contact>
         <individualName>
            <givenName>Nicholas</givenName>
            <surName>Vega Anguiano</surName>
         </individualName>
         <organizationName>Kansas State University</organizationName>
         <positionName>Graduate Research Assistant</positionName>
         <electronicMailAddress>nicova@ksu.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0009-0002-8199-0730</userId>
      </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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