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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
01051071 Lunden Quick edit Valid 2009-01-01 01051071
01051072 Marne, Stadt Quick edit Valid 2009-01-01 01051072
01051073 Marnerdeich Quick edit Valid 2009-01-01 01051073
01051074 Meldorf, Stadt Quick edit Valid 2009-01-01 01051074
01051075 Neuenkirchen Quick edit Valid 2009-01-01 01051075
01051076 Neufeld Quick edit Valid 2009-01-01 01051076
01051077 Neufelderkoog Quick edit Valid 2009-01-01 01051077
01051078 Nindorf Quick edit Valid 2009-01-01 01051078
01051079 Norddeich Quick edit Valid 2009-01-01 01051079
01051080 Norderheistedt Quick edit Valid 2009-01-01 01051080
01051081 Norderwöhrden Quick edit Valid 2009-01-01 01051081
01051082 Nordhastedt Quick edit Valid 2009-01-01 01051082
01051083 Odderade Quick edit Valid 2009-01-01 01051083
01051084 Oesterdeichstrich Quick edit Valid 2009-01-01 01051084
01051085 Offenbüttel Quick edit Valid 2009-01-01 01051085
01051086 Osterrade Quick edit Valid 2009-01-01 01051086
01051087 Ostrohe Quick edit Valid 2009-01-01 01051087
01051088 Pahlen Quick edit Valid 2009-01-01 01051088
01051089 Quickborn Quick edit Valid 2009-01-01 01051089
01051090 Ramhusen Quick edit Valid 2009-01-01 01051090
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?