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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 32,941 to 32,960.First1,6441,6451,6461,6471,6481,6491,6501,651Last
Id Label Status Status Modified Notation
80330 Forceville-en-Vimeu Quick edit Valid 2013-05-30 80330
80331 Forest-l'Abbaye Quick edit Valid 2013-05-30 80331
80332 Forest-Montiers Quick edit Valid 2013-05-30 80332
80333 Fort-Mahon-Plage Quick edit Valid 2013-05-30 80333
80334 Fossemanant Quick edit Valid 2013-05-30 80334
80335 Foucaucourt-en-Santerre Quick edit Valid 2013-05-30 80335
80336 Foucaucourt-Hors-Nesle Quick edit Valid 2013-05-30 80336
80337 Fouencamps Quick edit Valid 2013-05-30 80337
80338 Fouilloy Quick edit Valid 2013-05-30 80338
80339 Fouquescourt Quick edit Valid 2013-05-30 80339
80340 Fourcigny Quick edit Valid 2013-05-30 80340
80341 Fourdrinoy Quick edit Valid 2013-05-30 80341
80342 Framerville-Rainecourt Quick edit Valid 2013-05-30 80342
80343 Framicourt Quick edit Valid 2013-05-30 80343
80344 Francières Quick edit Valid 2013-05-30 80344
80345 Franleu Quick edit Valid 2013-05-30 80345
80346 Franqueville Quick edit Valid 2013-05-30 80346
80347 Fransart Quick edit Valid 2013-05-30 80347
80348 Fransu Quick edit Valid 2013-05-30 80348
80349 Fransures Quick edit Valid 2013-05-30 80349
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?