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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 4,721 to 4,740.First233234235236237238239240Last
Id Label Status Status Modified Notation
72655 Thompson Quick edit Valid 2013-05-30 72655
72669 Tomchevtsi Quick edit Valid 2013-05-30 72669
72672 Tonsko dabe Quick edit Valid 2013-05-30 72672
72693 Topola Quick edit Valid 2013-05-30 72693
72709 Topoli Quick edit Valid 2013-05-30 72709
72713 Topoli dol Quick edit Valid 2013-05-30 72713
72727 Topolitsa Quick edit Valid 2013-05-30 72727
72730 Topolka Quick edit Valid 2013-05-30 72730
72744 Topolnitsa Quick edit Valid 2013-05-30 72744
72758 Topolnitsa Quick edit Valid 2013-05-30 72758
72761 Topolovgrad Quick edit Valid 2013-05-30 72761
72775 Topolovets Quick edit Valid 2013-05-30 72775
72789 Topolovo Quick edit Valid 2013-05-30 72789
72792 Topolovo Quick edit Valid 2013-05-30 72792
72802 Topolchane Quick edit Valid 2013-05-30 72802
72816 Topolchane Quick edit Valid 2013-05-30 72816
72824 Topolyane Quick edit Valid 2013-05-30 72824
72833 Topuzevo Quick edit Valid 2013-05-30 72833
72847 Topuzi Quick edit Valid 2013-05-30 72847
72850 Topchii Quick edit Valid 2013-05-30 72850
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?