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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
00655 Arnautito Quick edit Valid 2013-05-30 00655
00669 Arpadzhik Quick edit Valid 2013-05-30 00669
00672 Archar Quick edit Valid 2013-05-30 00672
00697 Asen Quick edit Valid 2013-05-30 00697
00702 Asenovgrad Quick edit Valid 2013-05-30 00702
00713 Asenovets Quick edit Valid 2013-05-30 00713
00730 Asenovo Quick edit Valid 2013-05-30 00730
00744 Asenovo Quick edit Valid 2013-05-30 00744
00758 Asenovo Quick edit Valid 2013-05-30 00758
00761 Asenovtsi Quick edit Valid 2013-05-30 00761
00775 Asparuhovo Quick edit Valid 2013-05-30 00775
00789 Asparuhovo Quick edit Valid 2013-05-30 00789
00792 Asparuhovo Quick edit Valid 2013-05-30 00792
00802 Asparuhovo Quick edit Valid 2013-05-30 00802
00816 Atolovo Quick edit Valid 2013-05-30 00816
00828 Austa Quick edit Valid 2013-05-30 00828
00833 Aheloy Quick edit Valid 2013-05-30 00833
00847 Ahmatovo Quick edit Valid 2013-05-30 00847
00850 Galabovo Quick edit Valid 2013-05-30 00850
00864 Ahryansko Quick edit Valid 2013-05-30 00864
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?