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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 1,741 to 1,760.First8485868788899091Last
Id Label Status Status Modified Notation
090411 Penha de Águia Quick edit Valid 2013-05-30 090411
090412 Quintã de Pêro Martins Quick edit Valid 2013-05-30 090412
090413 Reigada Quick edit Valid 2013-05-30 090413
090414 Vale de Afonsinho Quick edit Valid 2013-05-30 090414
090415 Vermiosa Quick edit Valid 2013-05-30 090415
090416 Vilar de Amargo Quick edit Valid 2013-05-30 090416
090417 Vilar Torpim Quick edit Valid 2013-05-30 090417
090501 Algodres Quick edit Valid 2013-05-30 090501
090502 Casal Vasco Quick edit Valid 2013-05-30 090502
090503 Cortiçô Quick edit Valid 2013-05-30 090503
090504 Figueiró da Granja Quick edit Valid 2013-05-30 090504
090505 Fornos de Algodres Quick edit Valid 2013-05-30 090505
090506 Fuinhas Quick edit Valid 2013-05-30 090506
090507 Infias Quick edit Valid 2013-05-30 090507
090508 Juncais Quick edit Valid 2013-05-30 090508
090509 Maceira Quick edit Valid 2013-05-30 090509
090510 Matança Quick edit Valid 2013-05-30 090510
090511 Muxagata Quick edit Valid 2013-05-30 090511
090512 Queiriz Quick edit Valid 2013-05-30 090512
090513 Sobral Pichorro Quick edit Valid 2013-05-30 090513
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?