You are here:
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 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
539732 Štěchovice Quick edit Valid 2013-05-30 539732
539741 Štěnovický Borek Quick edit Valid 2013-05-30 539741
539759 Třebotov Quick edit Valid 2013-05-30 539759
539767 Tuchoměřice Quick edit Valid 2013-05-30 539767
539775 Tursko Quick edit Valid 2013-05-30 539775
539783 Oplot Quick edit Valid 2013-05-30 539783
539805 Únětice Quick edit Valid 2013-05-30 539805
539813 Velké Přílepy Quick edit Valid 2013-05-30 539813
539821 Horní Lukavice Quick edit Valid 2013-05-30 539821
539830 Vonoklasy Quick edit Valid 2013-05-30 539830
539848 Vrané nad Vltavou Quick edit Valid 2013-05-30 539848
539856 Všenory Quick edit Valid 2013-05-30 539856
539872 Zbuzany Quick edit Valid 2013-05-30 539872
539881 Zlatníky-Hodkovice Quick edit Valid 2013-05-30 539881
539902 Zvole Quick edit Valid 2013-05-30 539902
539911 Příbram Quick edit Valid 2013-05-30 539911
539929 Týniště Quick edit Valid 2013-05-30 539929
539937 Skašov Quick edit Valid 2013-05-30 539937
539945 Dolce Quick edit Valid 2013-05-30 539945
539953 Bohutín Quick edit Valid 2013-05-30 539953
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?