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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 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
10834 Vetren Quick edit Valid 2013-05-30 10834
10848 Vetren Quick edit Valid 2013-05-30 10848
10851 Vetren dol Quick edit Valid 2013-05-30 10851
10865 Vetrino Quick edit Valid 2013-05-30 10865
10879 Vetrintsi Quick edit Valid 2013-05-30 10879
10882 Vetrishte Quick edit Valid 2013-05-30 10882
10896 Vetrovo Quick edit Valid 2013-05-30 10896
10906 Vetrushka Quick edit Valid 2013-05-30 10906
10910 Vehtino Quick edit Valid 2013-05-30 10910
10923 Vehtovo Quick edit Valid 2013-05-30 10923
10937 Veshtitsa Quick edit Valid 2013-05-30 10937
10954 Viden Quick edit Valid 2013-05-30 10954
10971 Vidin Quick edit Valid 2013-05-30 10971
10985 Vidintsi Quick edit Valid 2013-05-30 10985
10999 Vidlitsa Quick edit Valid 2013-05-30 10999
11003 Vidno Quick edit Valid 2013-05-30 11003
11017 Vidrar Quick edit Valid 2013-05-30 11017
11020 Vidrare Quick edit Valid 2013-05-30 11020
11034 Vidritsa Quick edit Valid 2013-05-30 11034
11048 Vievo Quick edit Valid 2013-05-30 11048
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?