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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,928 concepts found, displaying 1,321 to 1,340.First6364656667686970Last
Id Label Status Status Modified Notation
516392 Slovenské Kľačany Quick edit Valid 2013-05-30 516392
516406 Stredné Plachtince Quick edit Valid 2013-05-30 516406
516414 Sucháň Quick edit Valid 2013-05-30 516414
516422 Suché Brezovo Quick edit Valid 2013-05-30 516422
516431 Širákov Quick edit Valid 2013-05-30 516431
516449 Šuľa Quick edit Valid 2013-05-30 516449
516457 Trebušovce Quick edit Valid 2013-05-30 516457
516465 Veľká Čalomija Quick edit Valid 2013-05-30 516465
516473 Veľká Ves nad Ipľom Quick edit Valid 2013-05-30 516473
516490 Veľké Zlievce Quick edit Valid 2013-05-30 516490
516503 Veľký Lom Quick edit Valid 2013-05-30 516503
516511 Vieska Quick edit Valid 2013-05-30 516511
516520 Vinica Quick edit Valid 2013-05-30 516520
516538 Vrbovka Quick edit Valid 2013-05-30 516538
516546 Záhorce Quick edit Valid 2013-05-30 516546
516554 Závada Quick edit Valid 2013-05-30 516554
516562 Zombor Quick edit Valid 2013-05-30 516562
516571 Želovce Quick edit Valid 2013-05-30 516571
516589 Žiar nad Hronom Quick edit Valid 2013-05-30 516589
516597 Svätý Anton Quick edit Valid 2013-05-30 516597
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?