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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 3,161 to 3,180.First155156157158159160161162Last
Id Label Status Status Modified Notation
563943 Cetenov Quick edit Valid 2013-05-30 563943
563951 Únice Quick edit Valid 2013-05-30 563951
563960 Český Dub Quick edit Valid 2013-05-30 563960
563978 Kubova Huť Quick edit Valid 2013-05-30 563978
563986 Klenovice Quick edit Valid 2013-05-30 563986
563994 Dolní Řasnice Quick edit Valid 2013-05-30 563994
564028 Frýdlant Quick edit Valid 2013-05-30 564028
564036 Habartice Quick edit Valid 2013-05-30 564036
564044 Hejnice Quick edit Valid 2013-05-30 564044
564052 Hlavice Quick edit Valid 2013-05-30 564052
564061 Hodkovice nad Mohelkou Quick edit Valid 2013-05-30 564061
564079 Horní Řasnice Quick edit Valid 2013-05-30 564079
564087 Poštovice Quick edit Valid 2013-05-30 564087
564095 Hrádek nad Nisou Quick edit Valid 2013-05-30 564095
564109 Chotyně Quick edit Valid 2013-05-30 564109
564117 Chrastava Quick edit Valid 2013-05-30 564117
564125 Plchov Quick edit Valid 2013-05-30 564125
564133 Jindřichovice pod Smrkem Quick edit Valid 2013-05-30 564133
564141 Kobyly Quick edit Valid 2013-05-30 564141
564150 Libochovičky Quick edit Valid 2013-05-30 564150
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?