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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 341 to 360.First1415161718192021Last
Id Label Status Status Modified Notation
04707 Bogolin Quick edit Valid 2013-05-30 04707
04724 Bogomil Quick edit Valid 2013-05-30 04724
04738 Bogomilovo Quick edit Valid 2013-05-30 04738
04741 Bogomiltsi Quick edit Valid 2013-05-30 04741
04755 Bogomolsko Quick edit Valid 2013-05-30 04755
04772 Bogorovo Quick edit Valid 2013-05-30 04772
04786 Bogorovo Quick edit Valid 2013-05-30 04786
04796 Bogoslov Quick edit Valid 2013-05-30 04796
04801 Bogutevo Quick edit Valid 2013-05-30 04801
04813 Bogyovtsi Quick edit Valid 2013-05-30 04813
04827 Bodenets Quick edit Valid 2013-05-30 04827
04830 Stambolovo Quick edit Valid 2013-05-30 04830
04844 Bodrovo Quick edit Valid 2013-05-30 04844
04861 Boevo Quick edit Valid 2013-05-30 04861
04892 Boeritsa Quick edit Valid 2013-05-30 04892
04902 Bozhak Quick edit Valid 2013-05-30 04902
04916 Bozhan Quick edit Valid 2013-05-30 04916
04927 Bozhanovo Quick edit Valid 2013-05-30 04927
04933 Bozhdovo Quick edit Valid 2013-05-30 04933
04947 Bozhevtsi Quick edit Valid 2013-05-30 04947
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?