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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 1,021 to 1,040.First4849505152535455Last
Id Label Status Status Modified Notation
01061074 Neuendorf b. Elmshorn Quick edit Valid 2009-01-01 01061074
01061076 Nienbüttel Quick edit Valid 2009-01-01 01061076
01061077 Nortorf Quick edit Valid 2009-01-01 01061077
01061078 Nutteln Quick edit Valid 2009-01-01 01061078
01061079 Oelixdorf Quick edit Valid 2009-01-01 01061079
01061080 Oeschebüttel Quick edit Valid 2009-01-01 01061080
01061081 Oldenborstel Quick edit Valid 2009-01-01 01061081
01061082 Oldendorf Quick edit Valid 2009-01-01 01061082
01061083 Ottenbüttel Quick edit Valid 2009-01-01 01061083
01061084 Peissen Quick edit Valid 2009-01-01 01061084
01061085 Pöschendorf Quick edit Valid 2009-01-01 01061085
01061086 Poyenberg Quick edit Valid 2009-01-01 01061086
01061087 Puls Quick edit Valid 2009-01-01 01061087
01061088 Quarnstedt Quick edit Valid 2009-01-01 01061088
01061089 Rade Quick edit Valid 2009-01-01 01061089
01061091 Reher Quick edit Valid 2009-01-01 01061091
01061092 Rethwisch Quick edit Valid 2009-01-01 01061092
01061093 Rosdorf Quick edit Valid 2009-01-01 01061093
01061095 Sankt Margarethen Quick edit Valid 2009-01-01 01061095
01061096 Sarlhusen Quick edit Valid 2009-01-01 01061096
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?