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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 32,741 to 32,760.First1,6341,6351,6361,6371,6381,6391,6401,641Last
Id Label Status Status Modified Notation
80121 Bouillancourt-la-Bataille Quick edit Valid 2013-05-30 80121
80122 Bouquemaison Quick edit Valid 2013-05-30 80122
80123 Bourdon Quick edit Valid 2013-05-30 80123
80124 Bourseville Quick edit Valid 2013-05-30 80124
80125 Boussicourt Quick edit Valid 2013-05-30 80125
80126 Bouttencourt Quick edit Valid 2013-05-30 80126
80127 Bouvaincourt-sur-Bresle Quick edit Valid 2013-05-30 80127
80128 Bouvincourt-en-Vermandois Quick edit Valid 2013-05-30 80128
80129 Bouzincourt Quick edit Valid 2013-05-30 80129
80130 Bovelles Quick edit Valid 2013-05-30 80130
80131 Boves Quick edit Valid 2013-05-30 80131
80132 Braches Quick edit Valid 2013-05-30 80132
80133 Brailly-Cornehotte Quick edit Valid 2013-05-30 80133
80134 Brassy Quick edit Valid 2013-05-30 80134
80135 Bray-lès-Mareuil Quick edit Valid 2013-05-30 80135
80136 Bray-sur-Somme Quick edit Valid 2013-05-30 80136
80137 Breilly Quick edit Valid 2013-05-30 80137
80138 Bresle Quick edit Valid 2013-05-30 80138
80139 Breuil Quick edit Valid 2013-05-30 80139
80140 Brévillers Quick edit Valid 2013-05-30 80140
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?