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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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
03102000 Salzgitter, Stadt Quick edit Valid 2013-05-29 03102000
03103000 Wolfsburg, Stadt Quick edit Valid 2013-05-29 03103000
03151001 Adenbüttel Quick edit Valid 2009-01-01 03151001
03151002 Barwedel Quick edit Valid 2009-01-01 03151002
03151003 Bergfeld Quick edit Valid 2009-01-01 03151003
03151004 Bokensdorf Quick edit Valid 2009-01-01 03151004
03151005 Brome, Flecken Quick edit Valid 2009-01-01 03151005
03151006 Calberlah Quick edit Valid 2009-01-01 03151006
03151007 Dedelstorf Quick edit Valid 2009-01-01 03151007
03151008 Ehra-Lessien Quick edit Valid 2009-01-01 03151008
03151009 Gifhorn, Stadt Quick edit Valid 2009-01-01 03151009
03151010 Groß Oesingen Quick edit Valid 2009-01-01 03151010
03151011 Hankensbüttel Quick edit Valid 2009-01-01 03151011
03151012 Hillerse Quick edit Valid 2009-01-01 03151012
03151013 Isenbüttel Quick edit Valid 2009-01-01 03151013
03151014 Jembke Quick edit Valid 2009-01-01 03151014
03151015 Leiferde Quick edit Valid 2009-01-01 03151015
03151016 Meine Quick edit Valid 2009-01-01 03151016
03151017 Meinersen Quick edit Valid 2009-01-01 03151017
03151018 Müden (Aller) Quick edit Valid 2009-01-01 03151018
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?