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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
10625 Venets Quick edit Valid 2013-05-30 10625
10639 Venets Quick edit Valid 2013-05-30 10639
10642 Venets Quick edit Valid 2013-05-30 10642
10656 Venkovets Quick edit Valid 2013-05-30 10656
10663 Venchan Quick edit Valid 2013-05-30 10663
10673 Veren Quick edit Valid 2013-05-30 10673
10687 Verentsi Quick edit Valid 2013-05-30 10687
10690 Verinsko Quick edit Valid 2013-05-30 10690
10700 Versko Quick edit Valid 2013-05-30 10700
10714 Veselets Quick edit Valid 2013-05-30 10714
10728 Veselets Quick edit Valid 2013-05-30 10728
10731 Veselie Quick edit Valid 2013-05-30 10731
10745 Veselina Quick edit Valid 2013-05-30 10745
10759 Veselina Quick edit Valid 2013-05-30 10759
10762 Veselinovo Quick edit Valid 2013-05-30 10762
10776 Veselinovo Quick edit Valid 2013-05-30 10776
10789 Veslets Quick edit Valid 2013-05-30 10789
10803 Vetovo Quick edit Valid 2013-05-30 10803
10817 Vetren Quick edit Valid 2013-05-30 10817
10820 Vetren Quick edit Valid 2013-05-30 10820
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?