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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
02810 Bata Quick edit Valid 2013-05-30 02810
02823 Batak Quick edit Valid 2013-05-30 02823
02837 Batak Quick edit Valid 2013-05-30 02837
02854 Batin Quick edit Valid 2013-05-30 02854
02868 Batishnitsa Quick edit Valid 2013-05-30 02868
02871 Batovo Quick edit Valid 2013-05-30 02871
02885 Batoshevo Quick edit Valid 2013-05-30 02885
02899 Batulia Quick edit Valid 2013-05-30 02899
02909 Batultsi Quick edit Valid 2013-05-30 02909
02912 Baurene Quick edit Valid 2013-05-30 02912
02926 Bahalin Quick edit Valid 2013-05-30 02926
02935 Bahovitsa Quick edit Valid 2013-05-30 02935
02943 Bahretsi Quick edit Valid 2013-05-30 02943
02957 Batsova mahala Quick edit Valid 2013-05-30 02957
02960 Bachevo Quick edit Valid 2013-05-30 02960
02974 Bachkovo Quick edit Valid 2013-05-30 02974
02988 Bukatsite Quick edit Valid 2013-05-30 02988
02991 Bashevo Quick edit Valid 2013-05-30 02991
03006 Bashtino Quick edit Valid 2013-05-30 03006
03017 Bashtino Quick edit Valid 2013-05-30 03017
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?