EDI Staging 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.760.1 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 |
|---|
| Monthly depth to groundwater from wells in the shallow aquifer of the Rio Grande flood plain (Bosque) in New Mexico, USA: 1997-2020 |
| Creator | |
|---|---|
| Individual Name: | Kim Eichhorst |
| Organization Name: | University of New Mexico |
| Email: | kimde@unm.edu |
| 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/760/1 |
| Contact | |
|---|---|
| Individual Name: | Ara Winter |
| Organization Name: | University of New Mexico |
| Email: | akooser@unm.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>Monthly depth to groundwater from wells in the shallow aquifer of the Rio Grande flood plain (Bosque) in New Mexico, USA: 1997-2020</title>
<creator>
<individualName>
<givenName>Kim</givenName>
<surName>Eichhorst</surName>
</individualName>
<organizationName>University of New Mexico</organizationName>
<electronicMailAddress>kimde@unm.edu</electronicMailAddress>
</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/760/1</url>
</online>
</distribution>
<contact>
<individualName>
<givenName>Ara</givenName>
<surName>Winter</surName>
</individualName>
<organizationName>University of New Mexico</organizationName>
<electronicMailAddress>akooser@unm.edu</electronicMailAddress>
</contact>
</dataSource>
</methodStep>
EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:
