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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 1,001 to 1,020.First4748495051525354Last
Id Label Status Status Modified Notation
01061053 Kollmoor Quick edit Valid 2009-01-01 01061053
01061054 Krempdorf Quick edit Valid 2009-01-01 01061054
01061055 Krempe, Stadt Quick edit Valid 2009-01-01 01061055
01061056 Kremperheide Quick edit Valid 2009-01-01 01061056
01061057 Krempermoor Quick edit Valid 2009-01-01 01061057
01061058 Kronsmoor Quick edit Valid 2009-01-01 01061058
01061059 Krummendiek Quick edit Valid 2009-01-01 01061059
01061060 Kudensee Quick edit Valid 2009-01-01 01061060
01061061 Lägerdorf Quick edit Valid 2009-01-01 01061061
01061062 Landrecht Quick edit Valid 2009-01-01 01061062
01061063 Landscheide Quick edit Valid 2009-01-01 01061063
01061064 Lockstedt Quick edit Valid 2009-01-01 01061064
01061065 Lohbarbek Quick edit Valid 2009-01-01 01061065
01061066 Looft Quick edit Valid 2009-01-01 01061066
01061067 Mehlbek Quick edit Valid 2009-01-01 01061067
01061068 Moordiek Quick edit Valid 2009-01-01 01061068
01061070 Moorhusen Quick edit Valid 2009-01-01 01061070
01061071 Mühlenbarbek Quick edit Valid 2009-01-01 01061071
01061072 Münsterdorf Quick edit Valid 2009-01-01 01061072
01061073 Neuenbrook Quick edit Valid 2009-01-01 01061073
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?