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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
01053041 Groß Grönau Quick edit Valid 2009-01-01 01053041
01053042 Groß Pampau Quick edit Valid 2009-01-01 01053042
01053043 Groß Sarau Quick edit Valid 2009-01-01 01053043
01053044 Groß Schenkenberg Quick edit Valid 2009-01-01 01053044
01053045 Grove Quick edit Valid 2009-01-01 01053045
01053046 Gudow Quick edit Valid 2009-01-01 01053046
01053047 Gülzow Quick edit Valid 2009-01-01 01053047
01053048 Güster Quick edit Valid 2009-01-01 01053048
01053049 Hamfelde Quick edit Valid 2009-01-01 01053049
01053050 Hamwarde Quick edit Valid 2009-01-01 01053050
01053051 Harmsdorf Quick edit Valid 2009-01-01 01053051
01053052 Havekost Quick edit Valid 2009-01-01 01053052
01053053 Hohenhorn Quick edit Valid 2009-01-01 01053053
01053054 Hollenbek Quick edit Valid 2009-01-01 01053054
01053056 Hornbek Quick edit Valid 2009-01-01 01053056
01053057 Horst Quick edit Valid 2009-01-01 01053057
01053058 Juliusburg Quick edit Valid 2009-01-01 01053058
01053059 Kankelau Quick edit Valid 2009-01-01 01053059
01053060 Kasseburg Quick edit Valid 2009-01-01 01053060
01053061 Kastorf Quick edit Valid 2009-01-01 01053061
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?