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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 1,881 to 1,900.First9192939495969798Last
Id Label Status Status Modified Notation
522741 Lúčky Quick edit Valid 2013-05-30 522741
522759 Malčice Quick edit Valid 2013-05-30 522759
522767 Malé Raškovce Quick edit Valid 2013-05-30 522767
522783 Markovce Quick edit Valid 2013-05-30 522783
522791 Moravany Quick edit Valid 2013-05-30 522791
522805 Nacina Ves Quick edit Valid 2013-05-30 522805
522813 Nižná Rybnica Quick edit Valid 2013-05-30 522813
522821 Nižné Nemecké Quick edit Valid 2013-05-30 522821
522830 Orechová Quick edit Valid 2013-05-30 522830
522848 Oreské Quick edit Valid 2013-05-30 522848
522856 Ostrov Quick edit Valid 2013-05-30 522856
522864 Palín Quick edit Valid 2013-05-30 522864
522872 Pavlovce nad Uhom Quick edit Valid 2013-05-30 522872
522881 Petrikovce Quick edit Valid 2013-05-30 522881
522899 Petrovce Quick edit Valid 2013-05-30 522899
522902 Petrovce nad Laborcom Quick edit Valid 2013-05-30 522902
522911 Pinkovce Quick edit Valid 2013-05-30 522911
522929 Podhoroď Quick edit Valid 2013-05-30 522929
522937 Porostov Quick edit Valid 2013-05-30 522937
522945 Poruba pod Vihorlatom Quick edit Valid 2013-05-30 522945
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?