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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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
14249 Gabar Quick edit Valid 2013-05-30 14249
14252 Gabarnitsa Quick edit Valid 2013-05-30 14252
14266 Gabarska Quick edit Valid 2013-05-30 14266
14275 Gavrailovo Quick edit Valid 2013-05-30 14275
14283 Gavril Genovo Quick edit Valid 2013-05-30 14283
14297 Gaganitsa Quick edit Valid 2013-05-30 14297
14307 Gagovo Quick edit Valid 2013-05-30 14307
14310 Gaydari Quick edit Valid 2013-05-30 14310
14324 Gaykini Quick edit Valid 2013-05-30 14324
14338 Gaytanevo Quick edit Valid 2013-05-30 14338
14341 Gaytaninovo Quick edit Valid 2013-05-30 14341
14355 Gaytanite Quick edit Valid 2013-05-30 14355
14369 Gaytantsi Quick edit Valid 2013-05-30 14369
14386 Galata Quick edit Valid 2013-05-30 14386
14390 Galatin Quick edit Valid 2013-05-30 14390
14406 Galiche Quick edit Valid 2013-05-30 14406
14413 Galishte Quick edit Valid 2013-05-30 14413
14427 Galovo Quick edit Valid 2013-05-30 14427
14430 Ganev dol Quick edit Valid 2013-05-30 14430
14458 Ganchovets Quick edit Valid 2013-05-30 14458
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?