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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 4,981 to 5,000.First246247248249250251252253Last
Id Label Status Status Modified Notation
584967 Uherčice Quick edit Valid 2013-05-30 584967
584975 Valtice Quick edit Valid 2013-05-30 584975
584983 Velké Bílovice Quick edit Valid 2013-05-30 584983
584991 Velké Hostěrádky Quick edit Valid 2013-05-30 584991
585009 Velké Němčice Quick edit Valid 2013-05-30 585009
585017 Velké Pavlovice Quick edit Valid 2013-05-30 585017
585025 Vlasatice Quick edit Valid 2013-05-30 585025
585033 Vranovice Quick edit Valid 2013-05-30 585033
585041 Vrbice Quick edit Valid 2013-05-30 585041
585050 Zaječí Quick edit Valid 2013-05-30 585050
585068 Zlín Quick edit Valid 2013-05-30 585068
585076 Biskupice Quick edit Valid 2013-05-30 585076
585092 Bohuslavice u Zlína Quick edit Valid 2013-05-30 585092
585106 Bratřejov Quick edit Valid 2013-05-30 585106
585114 Brumov-Bylnice Quick edit Valid 2013-05-30 585114
585131 Březová Quick edit Valid 2013-05-30 585131
585149 Březůvky Quick edit Valid 2013-05-30 585149
585157 Dešná Quick edit Valid 2013-05-30 585157
585165 Dobrkovice Quick edit Valid 2013-05-30 585165
585173 Dolní Lhota Quick edit Valid 2013-05-30 585173
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?