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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 1,601 to 1,620.First7778798081828384Last
Id Label Status Status Modified Notation
080501 Conceição Quick edit Valid 2013-05-30 080501
080502 Estoi Quick edit Valid 2013-05-30 080502
080503 Santa Bárbara de Nexe Quick edit Valid 2013-05-30 080503
080504 Faro (São Pedro) Quick edit Valid 2013-05-30 080504
080505 Faro (Sé) Quick edit Valid 2013-05-30 080505
080506 Montenegro Quick edit Valid 2013-05-30 080506
080601 Estômbar Quick edit Valid 2013-05-30 080601
080602 Ferragudo Quick edit Valid 2013-05-30 080602
080603 Lagoa Quick edit Valid 2013-05-30 080603
080604 Porches Quick edit Valid 2013-05-30 080604
080605 Carvoeiro Quick edit Valid 2013-05-30 080605
080606 Parchal Quick edit Valid 2013-05-30 080606
080701 Barão de São João Quick edit Valid 2013-05-30 080701
080702 Bensafrim Quick edit Valid 2013-05-30 080702
080703 Luz Quick edit Valid 2013-05-30 080703
080704 Odiáxere Quick edit Valid 2013-05-30 080704
080705 Lagos (Santa Maria) Quick edit Valid 2013-05-30 080705
080706 Lagos (São Sebastião) Quick edit Valid 2013-05-30 080706
080801 Almancil Quick edit Valid 2013-05-30 080801
080802 Alte Quick edit Valid 2013-05-30 080802
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?