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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 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
01054163 Wrixum Quick edit Valid 2009-01-01 01054163
01054164 Wyk auf Föhr, Stadt Quick edit Valid 2009-01-01 01054164
01054165 Galmsbüll Quick edit Valid 2009-01-01 01054165
01054166 Emmelsbüll-Horsbüll Quick edit Valid 2009-01-01 01054166
01054167 Enge-Sande Quick edit Valid 2009-01-01 01054167
01054168 Sylt Quick edit Valid 2009-01-01 01054168
01055001 Ahrensbök Quick edit Valid 2009-01-01 01055001
01055002 Altenkrempe Quick edit Valid 2009-01-01 01055002
01055004 Bad Schwartau, Stadt Quick edit Valid 2009-01-01 01055004
01055006 Beschendorf Quick edit Valid 2009-01-01 01055006
01055007 Bosau Quick edit Valid 2009-01-01 01055007
01055010 Dahme Quick edit Valid 2009-01-01 01055010
01055011 Damlos Quick edit Valid 2009-01-01 01055011
01055012 Eutin, Stadt Quick edit Valid 2009-01-01 01055012
01055014 Göhl Quick edit Valid 2009-01-01 01055014
01055015 Gremersdorf Quick edit Valid 2009-01-01 01055015
01055016 Grömitz Quick edit Valid 2009-01-01 01055016
01055017 Großenbrode Quick edit Valid 2009-01-01 01055017
01055018 Grube Quick edit Valid 2009-01-01 01055018
01055020 Harmsdorf Quick edit Valid 2009-01-01 01055020
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?