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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 1,021 to 1,040.First4849505152535455Last
Id Label Status Status Modified Notation
040812 Penas Roias Quick edit Valid 2013-05-30 040812
040813 Peredo da Bemposta Quick edit Valid 2013-05-30 040813
040814 Remondes Quick edit Valid 2013-05-30 040814
040815 Saldanha Quick edit Valid 2013-05-30 040815
040816 Sanhoane Quick edit Valid 2013-05-30 040816
040817 São Martinho do Peso Quick edit Valid 2013-05-30 040817
040818 Soutelo Quick edit Valid 2013-05-30 040818
040819 Tó Quick edit Valid 2013-05-30 040819
040820 Travanca Quick edit Valid 2013-05-30 040820
040821 Urrós Quick edit Valid 2013-05-30 040821
040822 Vale da Madre Quick edit Valid 2013-05-30 040822
040823 Vale de Porco Quick edit Valid 2013-05-30 040823
040824 Valverde Quick edit Valid 2013-05-30 040824
040825 Ventozelo Quick edit Valid 2013-05-30 040825
040826 Vila de Ala Quick edit Valid 2013-05-30 040826
040827 Vilar de Rei Quick edit Valid 2013-05-30 040827
040828 Vilarinho dos Galegos Quick edit Valid 2013-05-30 040828
040901 Açoreira Quick edit Valid 2013-05-30 040901
040902 Adeganha Quick edit Valid 2013-05-30 040902
040903 Cabeça Boa Quick edit Valid 2013-05-30 040903
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?