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 3,061 to 3,080.First150151152153154155156157Last
Id Label Status Status Modified Notation
150403 Palhais Quick edit Valid 2013-05-30 150403
150404 Santo André Quick edit Valid 2013-05-30 150404
150405 Verderena Quick edit Valid 2013-05-30 150405
150406 Alto do Seixalinho Quick edit Valid 2013-05-30 150406
150407 Santo António da Charneca Quick edit Valid 2013-05-30 150407
150408 Coina Quick edit Valid 2013-05-30 150408
150501 Azinheira Barros e São Mamede do Sádão Quick edit Valid 2013-05-30 150501
150502 Grândola Quick edit Valid 2013-05-30 150502
150503 Melides Quick edit Valid 2013-05-30 150503
150504 Santa Margarida da Serra Quick edit Valid 2013-05-30 150504
150505 Carvalhal Quick edit Valid 2013-05-30 150505
150601 Alhos Vedros Quick edit Valid 2013-05-30 150601
150602 Baixa da Banheira Quick edit Valid 2013-05-30 150602
150603 Moita Quick edit Valid 2013-05-30 150603
150604 Gaio-Rosário Quick edit Valid 2013-05-30 150604
150605 Sarilhos Pequenos Quick edit Valid 2013-05-30 150605
150606 Vale da Amoreira Quick edit Valid 2013-05-30 150606
150701 Canha Quick edit Valid 2013-05-30 150701
150702 Montijo Quick edit Valid 2013-05-30 150702
150703 Santo Isidro de Pegões Quick edit Valid 2013-05-30 150703
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?