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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 1,161 to 1,180.First5556575859606162Last
Id Label Status Status Modified Notation
03151039 Weyhausen Quick edit Valid 2009-01-01 03151039
03151040 Wittingen, Stadt Quick edit Valid 2009-01-01 03151040
03151041 Didderse Quick edit Valid 2009-01-01 03151041
03151501 Giebel, gemfr. Gebiet Quick edit Valid 2009-01-01 03151501
03152001 Adelebsen, Flecken Quick edit Valid 2009-01-01 03152001
03152002 Bilshausen Quick edit Valid 2009-01-01 03152002
03152003 Bodensee Quick edit Valid 2009-01-01 03152003
03152004 Bovenden, Flecken Quick edit Valid 2009-01-01 03152004
03152005 Bühren Quick edit Valid 2009-01-01 03152005
03152006 Dransfeld, Stadt Quick edit Valid 2009-01-01 03152006
03152007 Duderstadt, Stadt Quick edit Valid 2009-01-01 03152007
03152008 Ebergötzen Quick edit Valid 2009-01-01 03152008
03152009 Friedland Quick edit Valid 2009-01-01 03152009
03152010 Gieboldehausen, Flecken Quick edit Valid 2009-01-01 03152010
03152011 Gleichen Quick edit Valid 2009-01-01 03152011
03152012 Göttingen, Stadt Quick edit Valid 2009-01-01 03152012
03152013 Jühnde Quick edit Valid 2009-01-01 03152013
03152014 Krebeck Quick edit Valid 2009-01-01 03152014
03152015 Landolfshausen Quick edit Valid 2009-01-01 03152015
03152016 Hann. Münden, Stadt Quick edit Valid 2009-01-01 03152016
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?