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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 34,361 to 34,380.First1,7151,7161,7171,7181,7191,7201,7211,722Last
Id Label Status Status Modified Notation
85140 La Meilleraie-Tillay Quick edit Valid 2013-05-30 85140
85141 Menomblet Quick edit Valid 2013-05-30 85141
85142 La Merlatière Quick edit Valid 2013-05-30 85142
85143 Mervent Quick edit Valid 2013-05-30 85143
85144 Mesnard-la-Barotière Quick edit Valid 2013-05-30 85144
85145 Monsireigne Quick edit Valid 2013-05-30 85145
85146 Montaigu Quick edit Valid 2013-05-30 85146
85147 Montournais Quick edit Valid 2013-05-30 85147
85148 Montreuil Quick edit Valid 2013-05-30 85148
85149 Moreilles Quick edit Valid 2013-05-30 85149
85150 Mormaison Quick edit Valid 2013-05-30 85150
85151 Mortagne-sur-Sèvre Quick edit Valid 2013-05-30 85151
85152 La Mothe-Achard Quick edit Valid 2013-05-30 85152
85153 Mouchamps Quick edit Valid 2013-05-30 85153
85154 Mouilleron-en-Pareds Quick edit Valid 2013-05-30 85154
85155 Mouilleron-le-Captif Quick edit Valid 2013-05-30 85155
85156 Moutiers-les-Mauxfaits Quick edit Valid 2013-05-30 85156
85157 Moutiers-sur-le-Lay Quick edit Valid 2013-05-30 85157
85158 Mouzeuil-Saint-Martin Quick edit Valid 2013-05-30 85158
85159 Nalliers Quick edit Valid 2013-05-30 85159
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?