You are here:
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 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
081503 Raposeira Quick edit Valid 2013-05-30 081503
081504 Sagres Quick edit Valid 2013-05-30 081504
081505 Vila do Bispo Quick edit Valid 2013-05-30 081505
081601 Vila Nova de Cacela Quick edit Valid 2013-05-30 081601
081602 Vila Real de Santo António Quick edit Valid 2013-05-30 081602
081603 Monte Gordo Quick edit Valid 2013-05-30 081603
090101 Aguiar da Beira Quick edit Valid 2013-05-30 090101
090102 Carapito Quick edit Valid 2013-05-30 090102
090103 Cortiçada Quick edit Valid 2013-05-30 090103
090104 Coruche Quick edit Valid 2013-05-30 090104
090105 Dornelas Quick edit Valid 2013-05-30 090105
090106 Eirado Quick edit Valid 2013-05-30 090106
090107 Forninhos Quick edit Valid 2013-05-30 090107
090108 Gradiz Quick edit Valid 2013-05-30 090108
090109 Pena Verde Quick edit Valid 2013-05-30 090109
090110 Pinheiro Quick edit Valid 2013-05-30 090110
090111 Sequeiros Quick edit Valid 2013-05-30 090111
090112 Souto de Aguiar da Beira Quick edit Valid 2013-05-30 090112
090113 Valverde Quick edit Valid 2013-05-30 090113
090201 Ade Quick edit Valid 2013-05-30 090201
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?