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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 1,801 to 1,820.First8788899091929394Last
Id Label Status Status Modified Notation
546721 Sedlec Quick edit Valid 2013-05-30 546721
546755 Brzánky Quick edit Valid 2013-05-30 546755
546763 Horní Řepčice Quick edit Valid 2013-05-30 546763
546771 Kamýk Quick edit Valid 2013-05-30 546771
546780 Býčkovice Quick edit Valid 2013-05-30 546780
546798 Nová Bystřice Quick edit Valid 2013-05-30 546798
546801 Nová Včelnice Quick edit Valid 2013-05-30 546801
546810 Chudoslavice Quick edit Valid 2013-05-30 546810
546828 Staňkovice Quick edit Valid 2013-05-30 546828
546844 Novosedly nad Nežárkou Quick edit Valid 2013-05-30 546844
546852 Černěves Quick edit Valid 2013-05-30 546852
546861 Dobroměřice Quick edit Valid 2013-05-30 546861
546879 Líšťany Quick edit Valid 2013-05-30 546879
546887 Vršovice Quick edit Valid 2013-05-30 546887
546895 Brodec Quick edit Valid 2013-05-30 546895
546909 Lukov Quick edit Valid 2013-05-30 546909
546917 Písečné Quick edit Valid 2013-05-30 546917
546925 Stebno Quick edit Valid 2013-05-30 546925
546933 Okřešice Quick edit Valid 2013-05-30 546933
546941 Dobšice Quick edit Valid 2013-05-30 546941
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?