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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 32,921 to 32,940.First1,6431,6441,6451,6461,6471,6481,6491,650Last
Id Label Status Status Modified Notation
80308 Feuquières-en-Vimeu Quick edit Valid 2013-05-30 80308
80310 Fienvillers Quick edit Valid 2013-05-30 80310
80311 Fignières Quick edit Valid 2013-05-30 80311
80312 Fins Quick edit Valid 2013-05-30 80312
80313 Flaucourt Quick edit Valid 2013-05-30 80313
80314 Flers Quick edit Valid 2013-05-30 80314
80315 Flers-sur-Noye Quick edit Valid 2013-05-30 80315
80316 Flesselles Quick edit Valid 2013-05-30 80316
80317 Fleury Quick edit Valid 2013-05-30 80317
80318 Flixecourt Quick edit Valid 2013-05-30 80318
80319 Fluy Quick edit Valid 2013-05-30 80319
80320 Folies Quick edit Valid 2013-05-30 80320
80321 Folleville Quick edit Valid 2013-05-30 80321
80322 Fonches-Fonchette Quick edit Valid 2013-05-30 80322
80324 Fontaine-le-Sec Quick edit Valid 2013-05-30 80324
80325 Fontaine-lès-Cappy Quick edit Valid 2013-05-30 80325
80326 Fontaine-sous-Montdidier Quick edit Valid 2013-05-30 80326
80327 Fontaine-sur-Maye Quick edit Valid 2013-05-30 80327
80328 Fontaine-sur-Somme Quick edit Valid 2013-05-30 80328
80329 Forceville Quick edit Valid 2013-05-30 80329
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?