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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 2,321 to 2,340.First113114115116117118119120Last
Id Label Status Status Modified Notation
552674 Střítež Quick edit Valid 2013-05-30 552674
552682 Vyšní Lhoty Quick edit Valid 2013-05-30 552682
552691 Žabeň Quick edit Valid 2013-05-30 552691
552704 Mladá Vožice Quick edit Valid 2013-05-30 552704
552712 Mlýny Quick edit Valid 2013-05-30 552712
552721 Myslkovice Quick edit Valid 2013-05-30 552721
552739 Horní Suchá Quick edit Valid 2013-05-30 552739
552747 Nemyšl Quick edit Valid 2013-05-30 552747
552755 Věžky Quick edit Valid 2013-05-30 552755
552763 Nová Ves u Chýnova Quick edit Valid 2013-05-30 552763
552771 Čechy Quick edit Valid 2013-05-30 552771
552780 Křtomil Quick edit Valid 2013-05-30 552780
552798 Oldřichov Quick edit Valid 2013-05-30 552798
552801 Opařany Quick edit Valid 2013-05-30 552801
552810 Nahošovice Quick edit Valid 2013-05-30 552810
552828 Planá nad Lužnicí Quick edit Valid 2013-05-30 552828
552836 Turovice Quick edit Valid 2013-05-30 552836
552844 Olšovec Quick edit Valid 2013-05-30 552844
552852 Pohnání Quick edit Valid 2013-05-30 552852
552861 Pojbuky Quick edit Valid 2013-05-30 552861
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?