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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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
01057032 Kalübbe Quick edit Valid 2013-05-29 01057032
01057033 Kirchbarkau Quick edit Valid 2009-01-01 01057033
01057034 Kirchnüchel Quick edit Valid 2009-01-01 01057034
01057035 Klamp Quick edit Valid 2009-01-01 01057035
01057037 Klein Barkau Quick edit Valid 2009-01-01 01057037
01057038 Kletkamp Quick edit Valid 2009-01-01 01057038
01057039 Köhn Quick edit Valid 2009-01-01 01057039
01057040 Krokau Quick edit Valid 2009-01-01 01057040
01057041 Krummbek Quick edit Valid 2009-01-01 01057041
01057042 Kühren Quick edit Valid 2009-01-01 01057042
01057043 Laboe Quick edit Valid 2009-01-01 01057043
01057044 Lammershagen Quick edit Valid 2009-01-01 01057044
01057045 Lebrade Quick edit Valid 2013-05-29 01057045
01057046 Lehmkuhlen Quick edit Valid 2009-01-01 01057046
01057047 Löptin Quick edit Valid 2009-01-01 01057047
01057048 Lütjenburg, Stadt Quick edit Valid 2009-01-01 01057048
01057049 Lutterbek Quick edit Valid 2009-01-01 01057049
01057050 Martensrade Quick edit Valid 2009-01-01 01057050
01057051 Mönkeberg Quick edit Valid 2009-01-01 01057051
01057052 Mucheln Quick edit Valid 2009-01-01 01057052
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?