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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 35,641 to 35,660.First1,7791,7801,7811,7821,7831,7841,7851,786Last
Id Label Status Status Modified Notation
89143 Dollot Quick edit Valid 2013-05-30 89143
89144 Domats Quick edit Valid 2013-05-30 89144
89145 Domecy-sur-Cure Quick edit Valid 2013-05-30 89145
89146 Domecy-sur-le-Vault Quick edit Valid 2013-05-30 89146
89147 Dracy Quick edit Valid 2013-05-30 89147
89148 Druyes-les-Belles-Fontaines Quick edit Valid 2013-05-30 89148
89149 Dyé Quick edit Valid 2013-05-30 89149
89150 Égleny Quick edit Valid 2013-05-30 89150
89151 Égriselles-le-Bocage Quick edit Valid 2013-05-30 89151
89152 Épineau-les-Voves Quick edit Valid 2013-05-30 89152
89153 Épineuil Quick edit Valid 2013-05-30 89153
89154 Escamps Quick edit Valid 2013-05-30 89154
89155 Escolives-Sainte-Camille Quick edit Valid 2013-05-30 89155
89156 Esnon Quick edit Valid 2013-05-30 89156
89158 Étais-la-Sauvin Quick edit Valid 2013-05-30 89158
89159 Étaule Quick edit Valid 2013-05-30 89159
89160 Étigny Quick edit Valid 2013-05-30 89160
89161 Étivey Quick edit Valid 2013-05-30 89161
89162 Évry Quick edit Valid 2013-05-30 89162
89163 La Ferté-Loupière Quick edit Valid 2013-05-30 89163
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?