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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 1,541 to 1,560.First7475767778798081Last
Id Label Status Status Modified Notation
070601 Cabrela Quick edit Valid 2013-05-30 070601
070602 Lavre Quick edit Valid 2013-05-30 070602
070603 Nossa Senhora do Bispo Quick edit Valid 2013-05-30 070603
070604 Nossa Senhora da Vila Quick edit Valid 2013-05-30 070604
070605 Santiago do Escoural Quick edit Valid 2013-05-30 070605
070606 São Cristovão Quick edit Valid 2013-05-30 070606
070607 Ciborro Quick edit Valid 2013-05-30 070607
070608 Cortiçadas Quick edit Valid 2013-05-30 070608
070609 Silveiras Quick edit Valid 2013-05-30 070609
070610 Foros de Vale de Figueira Quick edit Valid 2013-05-30 070610
070701 Brotas Quick edit Valid 2013-05-30 070701
070702 Cabeção Quick edit Valid 2013-05-30 070702
070703 Mora Quick edit Valid 2013-05-30 070703
070704 Pavia Quick edit Valid 2013-05-30 070704
070801 Granja Quick edit Valid 2013-05-30 070801
070802 Luz Quick edit Valid 2013-05-30 070802
070803 Mourão Quick edit Valid 2013-05-30 070803
070901 Alqueva Quick edit Valid 2013-05-30 070901
070902 Amieira Quick edit Valid 2013-05-30 070902
070903 Monte do Trigo Quick edit Valid 2013-05-30 070903
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?