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.1632.3 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
High frequency limnological sensor data from three lakes in the Pocono Mountains region, Pennsylvania USA, 2016-2023

Creator
Individual Name: Kevin C Rose
Organization Name:Rensselaer Polytechnic Institute
Position Name:Principal Investigator
Email:rosek4@rpi.edu
User Id:0000-0002-1292-9381

Creator
Individual Name: Jenna Robinson
Organization Name:Rensselaer Polytechnic Institute
Position Name:PhD Candidate
Email:robinj8@rpi.edu
User Id:0000-0003-0415-8385

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/1632/3

Contact
Individual Name: Kevin C Rose
Organization Name:Rensselaer Polytechnic Institute
Position Name:Lead Principal Investigator
Email:rosek4@rpi.edu
User Id:0000-0002-1292-9381
<?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>High frequency limnological sensor data from three lakes in the Pocono Mountains region, Pennsylvania USA, 2016-2023</title>
<creator>
         <individualName>
            <givenName>Kevin</givenName>
            <givenName>C</givenName>
            <surName>Rose</surName>
         </individualName>
         <organizationName>Rensselaer Polytechnic Institute</organizationName>
         <positionName>Principal Investigator</positionName>
         <electronicMailAddress>rosek4@rpi.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0002-1292-9381</userId>
      </creator>
<creator>
         <individualName>
            <givenName>Jenna</givenName>
            <surName>Robinson</surName>
         </individualName>
         <organizationName>Rensselaer Polytechnic Institute</organizationName>
         <positionName>PhD Candidate</positionName>
         <electronicMailAddress>robinj8@rpi.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0003-0415-8385</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/1632/3</url>
</online>
</distribution>
<contact>
         <individualName>
            <givenName>Kevin</givenName>
            <givenName>C</givenName>
            <surName>Rose</surName>
         </individualName>
         <organizationName>Rensselaer Polytechnic Institute</organizationName>
         <positionName>Lead Principal Investigator</positionName>
         <electronicMailAddress>rosek4@rpi.edu</electronicMailAddress>
         <userId directory="https://orcid.org">0000-0002-1292-9381</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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