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 knb-lter-knz.201.5 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 |
|---|
| GIS01: GIS coverages defining internal boundaries of Konza Prairie |
| Creator | |
|---|---|
| Individual Name: | John M. Briggs |
| Address: | 116 Ackert Hall, Division of Biology, Kansas State University Manhattan KS 66506 USA |
| Phone - (voice): | 785-532-0140 |
| Email: | Jbriggs1@ksu.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-d.lternet.edu/package/metadata/eml/knb-lter-knz/201/5 |
| Contact | |
|---|---|
| Position Name: | KNZ-LTER Data Manager |
| Address: | Division of Biology Kansas State University Manhattan KS 66506 |
| Phone - (voice): | (785)532-6729 |
| Phone - (fax): | (785)532-6653 |
| Email: | knzlter@ksu.edu |
| Online URL: | http://www.konza.ksu.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>GIS01: GIS coverages defining internal boundaries of Konza Prairie</title>
<creator>
<individualName>
<givenName>John</givenName>
<givenName>M.</givenName>
<surName>Briggs</surName>
</individualName>
<address>
<deliveryPoint>116 Ackert Hall, Division of Biology, Kansas State University</deliveryPoint>
<city>Manhattan</city>
<administrativeArea>KS</administrativeArea>
<postalCode>66506</postalCode>
<country>USA</country>
</address>
<phone>785-532-0140</phone>
<electronicMailAddress>Jbriggs1@ksu.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-d.lternet.edu/package/metadata/eml/knb-lter-knz/201/5</url>
</online>
</distribution>
<contact id="im">
<positionName>KNZ-LTER Data Manager</positionName>
<address>
<deliveryPoint>Division of Biology</deliveryPoint>
<deliveryPoint>Kansas State University</deliveryPoint>
<city>Manhattan</city>
<administrativeArea>KS</administrativeArea>
<postalCode>66506</postalCode>
</address>
<phone phonetype="voice">(785)532-6729</phone>
<phone phonetype="fax">(785)532-6653</phone>
<electronicMailAddress>knzlter@ksu.edu</electronicMailAddress>
<onlineUrl>http://www.konza.ksu.edu</onlineUrl>
</contact>
</dataSource>
</methodStep>
EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:
