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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 2,881 to 2,900.First141142143144145146147148Last
Id Label Status Status Modified Notation
140502 Samora Correia Quick edit Valid 2013-05-30 140502
140503 Santo Estêvão Quick edit Valid 2013-05-30 140503
140504 Barrosa Quick edit Valid 2013-05-30 140504
140601 Cartaxo Quick edit Valid 2013-05-30 140601
140602 Ereira Quick edit Valid 2013-05-30 140602
140603 Lapa Quick edit Valid 2013-05-30 140603
140604 Pontével Quick edit Valid 2013-05-30 140604
140605 Valada Quick edit Valid 2013-05-30 140605
140606 Vale da Pinta Quick edit Valid 2013-05-30 140606
140607 Vila Chã de Ourique Quick edit Valid 2013-05-30 140607
140608 Vale da Pedra Quick edit Valid 2013-05-30 140608
140701 Chamusca Quick edit Valid 2013-05-30 140701
140702 Chouto Quick edit Valid 2013-05-30 140702
140703 Pinheiro Grande Quick edit Valid 2013-05-30 140703
140704 Ulme Quick edit Valid 2013-05-30 140704
140705 Vale de Cavalos Quick edit Valid 2013-05-30 140705
140706 Parreira Quick edit Valid 2013-05-30 140706
140707 Carregueira Quick edit Valid 2013-05-30 140707
140801 Constância Quick edit Valid 2013-05-30 140801
140802 Montalvo Quick edit Valid 2013-05-30 140802
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?