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 4,801 to 4,820.First237238239240241242243244Last
Id Label Status Status Modified Notation
582891 Březina (dříve okres Tišnov) Quick edit Valid 2013-05-30 582891
582913 Čebín Quick edit Valid 2013-05-30 582913
582921 Česká Quick edit Valid 2013-05-30 582921
582930 Čučice Quick edit Valid 2013-05-30 582930
582948 Deblín Quick edit Valid 2013-05-30 582948
582956 Dolní Kounice Quick edit Valid 2013-05-30 582956
582964 Domašov Quick edit Valid 2013-05-30 582964
582972 Drásov Quick edit Valid 2013-05-30 582972
582999 Hajany Quick edit Valid 2013-05-30 582999
583014 Heroltice Quick edit Valid 2013-05-30 583014
583022 Hlína Quick edit Valid 2013-05-30 583022
583031 Holasice Quick edit Valid 2013-05-30 583031
583057 Hostěnice Quick edit Valid 2013-05-30 583057
583065 Hradčany Quick edit Valid 2013-05-30 583065
583081 Hrušovany u Brna Quick edit Valid 2013-05-30 583081
583090 Hvozdec Quick edit Valid 2013-05-30 583090
583111 Chudčice Quick edit Valid 2013-05-30 583111
583120 Ivančice Quick edit Valid 2013-05-30 583120
583154 Javůrek Quick edit Valid 2013-05-30 583154
583171 Jinačovice Quick edit Valid 2013-05-30 583171
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?