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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 1,261 to 1,280.First6061626364656667Last
Id Label Status Status Modified Notation
03156008 Hattorf am Harz Quick edit Valid 2009-01-01 03156008
03156009 Herzberg am Harz, Stadt Quick edit Valid 2009-01-01 03156009
03156010 Hörden am Harz Quick edit Valid 2009-01-01 03156010
03156011 Osterode am Harz, Stadt Quick edit Valid 2009-01-01 03156011
03156012 Walkenried Quick edit Valid 2009-01-01 03156012
03156013 Wieda Quick edit Valid 2009-01-01 03156013
03156014 Windhausen Quick edit Valid 2009-01-01 03156014
03156015 Wulften am Harz Quick edit Valid 2009-01-01 03156015
03156016 Zorge Quick edit Valid 2009-01-01 03156016
03156501 Harz (Ldkr. Osterode am Harz) gemfr. Geb. Quick edit Valid 2009-01-01 03156501
03157001 Edemissen Quick edit Valid 2009-01-01 03157001
03157002 Hohenhameln Quick edit Valid 2009-01-01 03157002
03157003 Ilsede Quick edit Valid 2009-01-01 03157003
03157004 Lahstedt Quick edit Valid 2009-01-01 03157004
03157005 Lengede Quick edit Valid 2009-01-01 03157005
03157006 Peine, Stadt Quick edit Valid 2009-01-01 03157006
03157007 Vechelde Quick edit Valid 2009-01-01 03157007
03157008 Wendeburg Quick edit Valid 2009-01-01 03157008
03158001 Achim Quick edit Valid 2009-01-01 03158001
03158002 Baddeckenstedt Quick edit Valid 2009-01-01 03158002
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?