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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 3,081 to 3,100.First151152153154155156157158Last
Id Label Status Status Modified Notation
150704 Sarilhos Grandes Quick edit Valid 2013-05-30 150704
150705 Alto-Estanqueiro-Jardia Quick edit Valid 2013-05-30 150705
150706 Pegões Quick edit Valid 2013-05-30 150706
150707 Atalaia Quick edit Valid 2013-05-30 150707
150708 Afonsoeiro Quick edit Valid 2013-05-30 150708
150801 Marateca Quick edit Valid 2013-05-30 150801
150802 Palmela Quick edit Valid 2013-05-30 150802
150803 Pinhal Novo Quick edit Valid 2013-05-30 150803
150804 Quinta do Anjo Quick edit Valid 2013-05-30 150804
150805 Poceirão Quick edit Valid 2013-05-30 150805
150901 Abela Quick edit Valid 2013-05-30 150901
150902 Alvalade Quick edit Valid 2013-05-30 150902
150903 Cercal Quick edit Valid 2013-05-30 150903
150904 Ermidas-Sado Quick edit Valid 2013-05-30 150904
150905 Santa Cruz Quick edit Valid 2013-05-30 150905
150906 Santiago do Cacém Quick edit Valid 2013-05-30 150906
150907 Santo André Quick edit Valid 2013-05-30 150907
150908 São Bartolomeu da Serra Quick edit Valid 2013-05-30 150908
150909 São Domingos Quick edit Valid 2013-05-30 150909
150910 São Francisco da Serra Quick edit Valid 2013-05-30 150910
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?