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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 1,881 to 1,900.First9192939495969798Last
Id Label Status Status Modified Notation
547867 Bor u Skutče Quick edit Valid 2013-05-30 547867
547875 Lipovec Quick edit Valid 2013-05-30 547875
547883 Hojanovice Quick edit Valid 2013-05-30 547883
547891 Stolany Quick edit Valid 2013-05-30 547891
547905 Rybník Quick edit Valid 2013-05-30 547905
547913 Horní Cerekev Quick edit Valid 2013-05-30 547913
547921 Trpík Quick edit Valid 2013-05-30 547921
547930 Horní Ves Quick edit Valid 2013-05-30 547930
547948 Hořepník Quick edit Valid 2013-05-30 547948
547956 Hořice Quick edit Valid 2013-05-30 547956
547964 Sobkovice Quick edit Valid 2013-05-30 547964
547972 Hrádek Quick edit Valid 2013-05-30 547972
547981 Albrechtice Quick edit Valid 2013-05-30 547981
547999 Humpolec Quick edit Valid 2013-05-30 547999
548006 Bošín Quick edit Valid 2013-05-30 548006
548014 Dlouhá Třebová Quick edit Valid 2013-05-30 548014
548022 Vračovice-Orlov Quick edit Valid 2013-05-30 548022
548031 Dlouhoňovice Quick edit Valid 2013-05-30 548031
548049 Helvíkovice Quick edit Valid 2013-05-30 548049
548057 Vrchovnice Quick edit Valid 2013-05-30 548057
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?