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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

36,682 concepts found, displaying 32,681 to 32,700.First1,6311,6321,6331,6341,6351,6361,6371,638Last
Id Label Status Status Modified Notation
80057 Bayencourt Quick edit Valid 2013-05-30 80057
80058 Bayonvillers Quick edit Valid 2013-05-30 80058
80059 Bazentin Quick edit Valid 2013-05-30 80059
80060 Béalcourt Quick edit Valid 2013-05-30 80060
80061 Beaucamps-le-Jeune Quick edit Valid 2013-05-30 80061
80062 Beaucamps-le-Vieux Quick edit Valid 2013-05-30 80062
80063 Beauchamps Quick edit Valid 2013-05-30 80063
80064 Beaucourt-en-Santerre Quick edit Valid 2013-05-30 80064
80065 Beaucourt-sur-l'Ancre Quick edit Valid 2013-05-30 80065
80066 Beaucourt-sur-l'Hallue Quick edit Valid 2013-05-30 80066
80067 Beaufort-en-Santerre Quick edit Valid 2013-05-30 80067
80068 Beaumetz Quick edit Valid 2013-05-30 80068
80069 Beaumont-Hamel Quick edit Valid 2013-05-30 80069
80070 Beauquesne Quick edit Valid 2013-05-30 80070
80071 Beauval Quick edit Valid 2013-05-30 80071
80073 Bécordel-Bécourt Quick edit Valid 2013-05-30 80073
80074 Becquigny Quick edit Valid 2013-05-30 80074
80076 Béhen Quick edit Valid 2013-05-30 80076
80077 Béhencourt Quick edit Valid 2013-05-30 80077
80078 Bellancourt Quick edit Valid 2013-05-30 80078
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?