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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 521 to 540.First2324252627282930Last
Id Label Status Status Modified Notation
02104 Bouffignereux Quick edit Valid 2013-05-30 02104
02105 Bouresches Quick edit Valid 2013-05-30 02105
02106 Bourg-et-Comin Quick edit Valid 2013-05-30 02106
02107 Bourguignon-sous-Coucy Quick edit Valid 2013-05-30 02107
02108 Bourguignon-sous-Montbavin Quick edit Valid 2013-05-30 02108
02109 La Bouteille Quick edit Valid 2013-05-30 02109
02110 Braine Quick edit Valid 2013-05-30 02110
02111 Brancourt-en-Laonnois Quick edit Valid 2013-05-30 02111
02112 Brancourt-le-Grand Quick edit Valid 2013-05-30 02112
02114 Brasles Quick edit Valid 2013-05-30 02114
02115 Braye-en-Laonnois Quick edit Valid 2013-05-30 02115
02116 Braye-en-Thiérache Quick edit Valid 2013-05-30 02116
02117 Bray-Saint-Christophe Quick edit Valid 2013-05-30 02117
02118 Braye Quick edit Valid 2013-05-30 02118
02119 Brécy Quick edit Valid 2013-05-30 02119
02120 Brenelle Quick edit Valid 2013-05-30 02120
02121 Breny Quick edit Valid 2013-05-30 02121
02122 Brie Quick edit Valid 2013-05-30 02122
02123 Brissay-Choigny Quick edit Valid 2013-05-30 02123
02124 Brissy-Hamégicourt Quick edit Valid 2013-05-30 02124
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?