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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 2,581 to 2,600.First126127128129130131132133Last
Id Label Status Status Modified Notation
543390 Nižné Repaše Quick edit Valid 2013-05-30 543390
543403 Odorín Quick edit Valid 2013-05-30 543403
543411 Olcnava Quick edit Valid 2013-05-30 543411
543420 Oľšavica Quick edit Valid 2013-05-30 543420
543438 Oľšavka Quick edit Valid 2013-05-30 543438
543446 Ordzovany Quick edit Valid 2013-05-30 543446
543454 Pavľany Quick edit Valid 2013-05-30 543454
543462 Poľanovce Quick edit Valid 2013-05-30 543462
543471 Pongrácovce Quick edit Valid 2013-05-30 543471
543489 Poráč Quick edit Valid 2013-05-30 543489
543497 Prakovce Quick edit Valid 2013-05-30 543497
543501 Richnava Quick edit Valid 2013-05-30 543501
543519 Rudňany Quick edit Valid 2013-05-30 543519
543527 Slatvina Quick edit Valid 2013-05-30 543527
543535 Slovinky Quick edit Valid 2013-05-30 543535
543551 Smolnícka Huta Quick edit Valid 2013-05-30 543551
543560 Smolník Quick edit Valid 2013-05-30 543560
543578 Spišské Podhradie Quick edit Valid 2013-05-30 543578
543586 Spišské Tomášovce Quick edit Valid 2013-05-30 543586
543594 Spišské Vlachy Quick edit Valid 2013-05-30 543594
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?