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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 5,301 to 5,320.First262263264265266267268269Last
Id Label Status Status Modified Notation
588601 Koryčany Quick edit Valid 2013-05-30 588601
588610 Kostelec u Holešova Quick edit Valid 2013-05-30 588610
588628 Kunkovice Quick edit Valid 2013-05-30 588628
588636 Kurovice Quick edit Valid 2013-05-30 588636
588644 Kvasice Quick edit Valid 2013-05-30 588644
588652 Kyselovice Quick edit Valid 2013-05-30 588652
588661 Lechotice Quick edit Valid 2013-05-30 588661
588695 Litenčice Quick edit Valid 2013-05-30 588695
588709 Loukov Quick edit Valid 2013-05-30 588709
588717 Lubná Quick edit Valid 2013-05-30 588717
588725 Ludslavice Quick edit Valid 2013-05-30 588725
588733 Lutopecny Quick edit Valid 2013-05-30 588733
588741 Martinice Quick edit Valid 2013-05-30 588741
588750 Míškovice Quick edit Valid 2013-05-30 588750
588768 Morkovice-Slížany Quick edit Valid 2013-05-30 588768
588784 Němčice Quick edit Valid 2013-05-30 588784
588806 Nítkovice Quick edit Valid 2013-05-30 588806
588814 Nová Dědina Quick edit Valid 2013-05-30 588814
588822 Osíčko Quick edit Valid 2013-05-30 588822
588831 Pacetluky Quick edit Valid 2013-05-30 588831
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?