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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 1,241 to 1,260.First5960616263646566Last
Id Label Status Status Modified Notation
050610 Sarnadas de São Simão Quick edit Valid 2013-05-30 050610
050611 Sobral Quick edit Valid 2013-05-30 050611
050612 Vilar Barroco Quick edit Valid 2013-05-30 050612
050701 Águas Quick edit Valid 2013-05-30 050701
050702 Aldeia do Bispo Quick edit Valid 2013-05-30 050702
050703 Aldeia de João Pires Quick edit Valid 2013-05-30 050703
050704 Aranhas Quick edit Valid 2013-05-30 050704
050705 Bemposta Quick edit Valid 2013-05-30 050705
050706 Benquerença Quick edit Valid 2013-05-30 050706
050707 Meimão Quick edit Valid 2013-05-30 050707
050708 Meimoa Quick edit Valid 2013-05-30 050708
050709 Pedrógão de São Pedro Quick edit Valid 2013-05-30 050709
050710 Penamacor Quick edit Valid 2013-05-30 050710
050711 Salvador Quick edit Valid 2013-05-30 050711
050712 Vale da Senhora da Póvoa Quick edit Valid 2013-05-30 050712
050801 Alvito da Beira Quick edit Valid 2013-05-30 050801
050802 Montes da Senhora Quick edit Valid 2013-05-30 050802
050803 Peral Quick edit Valid 2013-05-30 050803
050804 Proença-a-Nova Quick edit Valid 2013-05-30 050804
050805 São Pedro do Esteval Quick edit Valid 2013-05-30 050805
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?