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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 3,361 to 3,380.First165166167168169170171172Last
Id Label Status Status Modified Notation
10136 Éguilly-sous-Bois Quick edit Valid 2013-05-30 10136
10137 Engente Quick edit Valid 2013-05-30 10137
10138 Épagne Quick edit Valid 2013-05-30 10138
10139 Épothémont Quick edit Valid 2013-05-30 10139
10140 Ervy-le-Châtel Quick edit Valid 2013-05-30 10140
10141 Essoyes Quick edit Valid 2013-05-30 10141
10142 Estissac Quick edit Valid 2013-05-30 10142
10143 Étourvy Quick edit Valid 2013-05-30 10143
10144 Étrelles-sur-Aube Quick edit Valid 2013-05-30 10144
10145 Faux-Villecerf Quick edit Valid 2013-05-30 10145
10146 Fay-lès-Marcilly Quick edit Valid 2013-05-30 10146
10147 Fays-la-Chapelle Quick edit Valid 2013-05-30 10147
10148 Ferreux-Quincey Quick edit Valid 2013-05-30 10148
10149 Feuges Quick edit Valid 2013-05-30 10149
10150 Fontaine Quick edit Valid 2013-05-30 10150
10151 Fontaine-les-Grès Quick edit Valid 2013-05-30 10151
10153 Fontaine-Mâcon Quick edit Valid 2013-05-30 10153
10154 Fontenay-de-Bossery Quick edit Valid 2013-05-30 10154
10155 Fontette Quick edit Valid 2013-05-30 10155
10156 Fontvannes Quick edit Valid 2013-05-30 10156
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?