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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 1,221 to 1,240.First5859606162636465Last
Id Label Status Status Modified Notation
17378 Gostinya Quick edit Valid 2013-05-30 17378
17381 Gostun Quick edit Valid 2013-05-30 17381
17395 Gotse Delchev Quick edit Valid 2013-05-30 17395
17405 Gradevo Quick edit Valid 2013-05-30 17405
17419 Gradezhnitsa Quick edit Valid 2013-05-30 17419
17422 Gradets Quick edit Valid 2013-05-30 17422
17436 Gradets Quick edit Valid 2013-05-30 17436
17449 Gradets Quick edit Valid 2013-05-30 17449
17453 Gradeshnitsa Quick edit Valid 2013-05-30 17453
17467 Stefan Stambolovo Quick edit Valid 2013-05-30 17467
17470 Gradina Quick edit Valid 2013-05-30 17470
17484 Gradina Quick edit Valid 2013-05-30 17484
17498 Gradina Quick edit Valid 2013-05-30 17498
17508 Gradinarovo Quick edit Valid 2013-05-30 17508
17511 Gradini Quick edit Valid 2013-05-30 17511
17525 Gradinka Quick edit Valid 2013-05-30 17525
17542 Gradishte Quick edit Valid 2013-05-30 17542
17556 Gradishte Quick edit Valid 2013-05-30 17556
17573 Gradishte Quick edit Valid 2013-05-30 17573
17587 Gradnitsa Quick edit Valid 2013-05-30 17587
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?