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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 3,341 to 3,360.First164165166167168169170171Last
Id Label Status Status Modified Notation
565776 Třebívlice Quick edit Valid 2013-05-30 565776
565784 Charvatce Quick edit Valid 2013-05-30 565784
565792 Třebušín Quick edit Valid 2013-05-30 565792
565806 Úpohlavy Quick edit Valid 2013-05-30 565806
565814 Úštěk Quick edit Valid 2013-05-30 565814
565822 Mohelnice nad Jizerou Quick edit Valid 2013-05-30 565822
565831 Vědomice Quick edit Valid 2013-05-30 565831
565849 Velemín Quick edit Valid 2013-05-30 565849
565857 Velké Žernoseky Quick edit Valid 2013-05-30 565857
565865 Vchynice Quick edit Valid 2013-05-30 565865
565873 Vlastislav Quick edit Valid 2013-05-30 565873
565881 Vražkov Quick edit Valid 2013-05-30 565881
565890 Vrbice Quick edit Valid 2013-05-30 565890
565903 Vrbičany Quick edit Valid 2013-05-30 565903
565911 Vrutice Quick edit Valid 2013-05-30 565911
565920 Sudoměř Quick edit Valid 2013-05-30 565920
565938 Žabovřesky nad Ohří Quick edit Valid 2013-05-30 565938
565946 Žalhostice Quick edit Valid 2013-05-30 565946
565954 Židovice Quick edit Valid 2013-05-30 565954
565962 Žitenice Quick edit Valid 2013-05-30 565962
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?