You are here:
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 6,161 to 6,180.First305306307308309310311312Last
Id Label Status Status Modified Notation
598925 Albrechtice Quick edit Valid 2013-05-30 598925
598933 Český Těšín Quick edit Valid 2013-05-30 598933
598941 Dětmarovice Quick edit Valid 2013-05-30 598941
598950 Lažánky Quick edit Valid 2013-05-30 598950
598968 Dolní Lutyně Quick edit Valid 2013-05-30 598968
598976 Čenkov u Bechyně Quick edit Valid 2013-05-30 598976
598992 Hodětín Quick edit Valid 2013-05-30 598992
599000 Záhoří Quick edit Valid 2013-05-30 599000
599026 Slapsko Quick edit Valid 2013-05-30 599026
599034 Zhoř u Mladé Vožice Quick edit Valid 2013-05-30 599034
599042 Slapy Quick edit Valid 2013-05-30 599042
599051 Bohumín Quick edit Valid 2013-05-30 599051
599069 Orlová Quick edit Valid 2013-05-30 599069
599077 Petrovice u Karviné Quick edit Valid 2013-05-30 599077
599085 Petřvald Quick edit Valid 2013-05-30 599085
599107 Rychvald Quick edit Valid 2013-05-30 599107
599115 Řípec Quick edit Valid 2013-05-30 599115
599123 Ústrašice Quick edit Valid 2013-05-30 599123
599131 Nová Ves Quick edit Valid 2013-05-30 599131
599140 Stonava Quick edit Valid 2013-05-30 599140
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?