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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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
03856 Benkovski Quick edit Valid 2013-05-30 03856
03860 Benkovski Quick edit Valid 2013-05-30 03860
03873 Berayntsi Quick edit Valid 2013-05-30 03873
03887 Berende Quick edit Valid 2013-05-30 03887
03890 Berende Quick edit Valid 2013-05-30 03890
03900 Berende izvor Quick edit Valid 2013-05-30 03900
03914 Berievo Quick edit Valid 2013-05-30 03914
03928 Berkovitsa Quick edit Valid 2013-05-30 03928
03931 Berkovski Quick edit Valid 2013-05-30 03931
03945 Berkovtsi Quick edit Valid 2013-05-30 03945
03959 Beronovo Quick edit Valid 2013-05-30 03959
03962 Bersin Quick edit Valid 2013-05-30 03962
03976 Beslen Quick edit Valid 2013-05-30 03976
03986 Besnurka Quick edit Valid 2013-05-30 03986
03993 Bivolare Quick edit Valid 2013-05-30 03993
04008 Bivolyane Quick edit Valid 2013-05-30 04008
04011 Bizhovtsi Quick edit Valid 2013-05-30 04011
04025 Bizhovtsi Quick edit Valid 2013-05-30 04025
04039 Bikovo Quick edit Valid 2013-05-30 04039
04042 Bilintsi Quick edit Valid 2013-05-30 04042
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?