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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

11,204 concepts found, displaying 10,541 to 10,560.First524525526527528529530531Last
Id Label Status Status Modified Notation
16066003 Bauerbach Quick edit Valid 2009-01-01 16066003
16066005 Belrieth Quick edit Valid 2009-01-01 16066005
16066006 Benshausen Quick edit Valid 2009-01-01 16066006
16066008 Bermbach Quick edit Valid 2009-01-01 16066008
16066012 Birx Quick edit Valid 2009-01-01 16066012
16066013 Breitungen/Werra Quick edit Valid 2009-01-01 16066013
16066014 Brotterode, Kurort, Stadt Quick edit Valid 2009-01-01 16066014
16066015 Christes Quick edit Valid 2009-01-01 16066015
16066016 Dillstädt Quick edit Valid 2009-01-01 16066016
16066017 Einhausen Quick edit Valid 2009-01-01 16066017
16066018 Ellingshausen Quick edit Valid 2009-01-01 16066018
16066019 Erbenhausen Quick edit Valid 2009-01-01 16066019
16066022 Fambach Quick edit Valid 2009-01-01 16066022
16066023 Floh-Seligenthal Quick edit Valid 2009-01-01 16066023
16066024 Frankenheim/Rhön Quick edit Valid 2009-01-01 16066024
16066025 Friedelshausen Quick edit Valid 2009-01-01 16066025
16066028 Henneberg Quick edit Valid 2009-01-01 16066028
16066031 Herpf Quick edit Valid 2009-01-01 16066031
16066033 Hümpfershausen Quick edit Valid 2009-01-01 16066033
16066035 Kaltensundheim Quick edit Valid 2009-01-01 16066035
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?