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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 11,161 to 11,180.First554555556557558559560561Last
Id Label Status Status Modified Notation
16076087 Zeulenroda-Triebes, Stadt Quick edit Valid 2009-01-01 16076087
16076088 Harth-Pöllnitz Quick edit Valid 2009-01-01 16076088
16076089 Kraftsdorf Quick edit Valid 2009-01-01 16076089
16076091 Vogtländisches Oberland Quick edit Valid 2009-01-01 16076091
16077001 Altenburg, Stadt Quick edit Valid 2009-01-01 16077001
16077002 Altkirchen Quick edit Valid 2009-01-01 16077002
16077003 Dobitschen Quick edit Valid 2009-01-01 16077003
16077004 Drogen Quick edit Valid 2009-01-01 16077004
16077005 Fockendorf Quick edit Valid 2009-01-01 16077005
16077006 Frohnsdorf Quick edit Valid 2009-01-01 16077006
16077007 Gerstenberg Quick edit Valid 2009-01-01 16077007
16077008 Göhren Quick edit Valid 2009-01-01 16077008
16077009 Göllnitz Quick edit Valid 2009-01-01 16077009
16077011 Göpfersdorf Quick edit Valid 2009-01-01 16077011
16077012 Gößnitz, Stadt Quick edit Valid 2009-01-01 16077012
16077013 Großröda Quick edit Valid 2009-01-01 16077013
16077015 Haselbach Quick edit Valid 2009-01-01 16077015
16077016 Heukewalde Quick edit Valid 2009-01-01 16077016
16077017 Heyersdorf Quick edit Valid 2009-01-01 16077017
16077018 Jonaswalde Quick edit Valid 2009-01-01 16077018
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?