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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 10,981 to 11,000.First546547548549550551552553Last
Id Label Status Status Modified Notation
16074059 Mörsdorf Quick edit Valid 2009-01-01 16074059
16074061 Nausnitz Quick edit Valid 2009-01-01 16074061
16074063 Neuengönna Quick edit Valid 2009-01-01 16074063
16074064 Oberbodnitz Quick edit Valid 2009-01-01 16074064
16074065 Orlamünde, Stadt Quick edit Valid 2009-01-01 16074065
16074066 Ottendorf Quick edit Valid 2009-01-01 16074066
16074067 Petersberg Quick edit Valid 2009-01-01 16074067
16074068 Poxdorf Quick edit Valid 2009-01-01 16074068
16074069 Quirla Quick edit Valid 2009-01-01 16074069
16074071 Rattelsdorf Quick edit Valid 2009-01-01 16074071
16074072 Rauda Quick edit Valid 2009-01-01 16074072
16074073 Rauschwitz Quick edit Valid 2009-01-01 16074073
16074074 Rausdorf Quick edit Valid 2009-01-01 16074074
16074075 Reichenbach Quick edit Valid 2009-01-01 16074075
16074076 Reinstädt Quick edit Valid 2009-01-01 16074076
16074077 Renthendorf Quick edit Valid 2009-01-01 16074077
16074079 Rothenstein Quick edit Valid 2009-01-01 16074079
16074081 Ruttersdorf-Lotschen Quick edit Valid 2009-01-01 16074081
16074082 Scheiditz Quick edit Valid 2009-01-01 16074082
16074084 Schleifreisen Quick edit Valid 2009-01-01 16074084
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?