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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

6,250 concepts found, displaying 1,241 to 1,260.First5960616263646566Last
Id Label Status Status Modified Notation
539252 Hradištko Quick edit Valid 2013-05-30 539252
539261 Hvozdnice Quick edit Valid 2013-05-30 539261
539279 Velká Hleďsebe Quick edit Valid 2013-05-30 539279
539287 Choteč Quick edit Valid 2013-05-30 539287
539295 Chrášťany Quick edit Valid 2013-05-30 539295
539309 Chýně Quick edit Valid 2013-05-30 539309
539317 Jeneč Quick edit Valid 2013-05-30 539317
539325 Jesenice Quick edit Valid 2013-05-30 539325
539333 Jílové u Prahy Quick edit Valid 2013-05-30 539333
539341 Jíloviště Quick edit Valid 2013-05-30 539341
539350 Jinočany Quick edit Valid 2013-05-30 539350
539368 Kamenný Přívoz Quick edit Valid 2013-05-30 539368
539376 Vlkovice Quick edit Valid 2013-05-30 539376
539384 Kněževes Quick edit Valid 2013-05-30 539384
539392 Kosoř Quick edit Valid 2013-05-30 539392
539406 Lety Quick edit Valid 2013-05-30 539406
539414 Libčice nad Vltavou Quick edit Valid 2013-05-30 539414
539422 Libeř Quick edit Valid 2013-05-30 539422
539431 Zádub-Závišín Quick edit Valid 2013-05-30 539431
539457 Líšnice Quick edit Valid 2013-05-30 539457
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?