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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 2,621 to 2,640.First128129130131132133134135Last
Id Label Status Status Modified Notation
08203 Guignicourt-sur-Vence Quick edit Valid 2013-05-30 08203
08204 Guincourt Quick edit Valid 2013-05-30 08204
08205 Hagnicourt Quick edit Valid 2013-05-30 08205
08206 Ham-les-Moines Quick edit Valid 2013-05-30 08206
08207 Ham-sur-Meuse Quick edit Valid 2013-05-30 08207
08208 Hannappes Quick edit Valid 2013-05-30 08208
08209 Hannogne-Saint-Martin Quick edit Valid 2013-05-30 08209
08210 Hannogne-Saint-Rémy Quick edit Valid 2013-05-30 08210
08211 Haraucourt Quick edit Valid 2013-05-30 08211
08212 Harcy Quick edit Valid 2013-05-30 08212
08214 Hargnies Quick edit Valid 2013-05-30 08214
08215 Harricourt Quick edit Valid 2013-05-30 08215
08216 Haudrecy Quick edit Valid 2013-05-30 08216
08217 Haulmé Quick edit Valid 2013-05-30 08217
08218 Les Hautes-Rivières Quick edit Valid 2013-05-30 08218
08219 Hauteville Quick edit Valid 2013-05-30 08219
08220 Hauviné Quick edit Valid 2013-05-30 08220
08222 Haybes Quick edit Valid 2013-05-30 08222
08223 Herbeuval Quick edit Valid 2013-05-30 08223
08225 Herpy-l'Arlésienne Quick edit Valid 2013-05-30 08225
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?