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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

4,260 concepts found, displaying 1,161 to 1,180.First5556575859606162Last
Id Label Status Status Modified Notation
050309 Dominguizo Quick edit Valid 2013-05-30 050309
050310 Erada Quick edit Valid 2013-05-30 050310
050311 Ferro Quick edit Valid 2013-05-30 050311
050312 Orjais Quick edit Valid 2013-05-30 050312
050313 Ourondo Quick edit Valid 2013-05-30 050313
050314 Paul Quick edit Valid 2013-05-30 050314
050315 Peraboa Quick edit Valid 2013-05-30 050315
050316 Peso Quick edit Valid 2013-05-30 050316
050317 Covilhã (Santa Maria) Quick edit Valid 2013-05-30 050317
050318 São Jorge da Beira Quick edit Valid 2013-05-30 050318
050319 Covilhã (São Martinho) Quick edit Valid 2013-05-30 050319
050320 Covilhã (São Pedro) Quick edit Valid 2013-05-30 050320
050321 Sarzedo Quick edit Valid 2013-05-30 050321
050322 Sobral de São Miguel Quick edit Valid 2013-05-30 050322
050323 Teixoso Quick edit Valid 2013-05-30 050323
050324 Tortosendo Quick edit Valid 2013-05-30 050324
050325 Unhais da Serra Quick edit Valid 2013-05-30 050325
050326 Vale Formoso Quick edit Valid 2013-05-30 050326
050327 Verdelhos Quick edit Valid 2013-05-30 050327
050328 Vales do Rio Quick edit Valid 2013-05-30 050328
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?