EDI Development Environment
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.723.1 as one of its source data packages should include the <methodStep> element shown below as a sub-element within its <methods> element.
This method step describes provenance-based metadata as specified in the LTER EML Best Practices.
This provenance metadata does not contain entity specific information.
| Title |
|---|
| Mapping and Modeling Clandestine Drivers of Urban Expansion in Mexico City (2016-2019) |
| Creator | |
|---|---|
| Individual Name: | Elizabeth Tellman |
| Organization Name: | University of Arizona |
| Email: | btellman@arizona.edu |
| User Id: | 0000-0003-3026-6435 |
| 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/723/1 |
| 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>Mapping and Modeling Clandestine Drivers of Urban Expansion in Mexico City (2016-2019)</title>
<creator>
<individualName>
<givenName>Elizabeth</givenName>
<surName>Tellman</surName>
</individualName>
<organizationName>University of Arizona</organizationName>
<electronicMailAddress>btellman@arizona.edu</electronicMailAddress>
<userId directory="https://orcid.org">0000-0003-3026-6435</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/723/1</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:
