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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 1,321 to 1,340.First6364656667686970Last
Id Label Status Status Modified Notation
03241003 Burgdorf, Stadt Quick edit Valid 2009-01-01 03241003
03241004 Burgwedel, Stadt Quick edit Valid 2009-01-01 03241004
03241005 Garbsen, Stadt Quick edit Valid 2009-01-01 03241005
03241006 Gehrden, Stadt Quick edit Valid 2009-01-01 03241006
03241007 Hemmingen, Stadt Quick edit Valid 2009-01-01 03241007
03241008 Isernhagen Quick edit Valid 2009-01-01 03241008
03241009 Laatzen, Stadt Quick edit Valid 2009-01-01 03241009
03241010 Langenhagen, Stadt Quick edit Valid 2009-01-01 03241010
03241011 Lehrte, Stadt Quick edit Valid 2009-01-01 03241011
03241012 Neustadt am Rübenberge, Stadt Quick edit Valid 2009-01-01 03241012
03241013 Pattensen, Stadt Quick edit Valid 2009-01-01 03241013
03241014 Ronnenberg, Stadt Quick edit Valid 2009-01-01 03241014
03241015 Seelze, Stadt Quick edit Valid 2009-01-01 03241015
03241016 Sehnde, Stadt Quick edit Valid 2009-01-01 03241016
03241017 Springe, Stadt Quick edit Valid 2009-01-01 03241017
03241018 Uetze Quick edit Valid 2009-01-01 03241018
03241019 Wedemark Quick edit Valid 2009-01-01 03241019
03241020 Wennigsen (Deister) Quick edit Valid 2009-01-01 03241020
03241021 Wunstorf, Stadt Quick edit Valid 2009-01-01 03241021
03251001 Affinghausen Quick edit Valid 2009-01-01 03251001
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?