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 5,661 to 5,680.First280281282283284285286287Last
Id Label Status Status Modified Notation
593028 Habrovany Quick edit Valid 2013-05-30 593028
593036 Hlubočany Quick edit Valid 2013-05-30 593036
593044 Hodějice Quick edit Valid 2013-05-30 593044
593052 Hostěrádky-Rešov Quick edit Valid 2013-05-30 593052
593061 Hoštice-Heroltice Quick edit Valid 2013-05-30 593061
593079 Hrušky Quick edit Valid 2013-05-30 593079
593087 Hvězdlice Quick edit Valid 2013-05-30 593087
593095 Chvalkovice Quick edit Valid 2013-05-30 593095
593117 Ivanovice na Hané Quick edit Valid 2013-05-30 593117
593125 Ježkovice Quick edit Valid 2013-05-30 593125
593141 Kobeřice u Brna Quick edit Valid 2013-05-30 593141
593150 Kojátky Quick edit Valid 2013-05-30 593150
593168 Komořany Quick edit Valid 2013-05-30 593168
593184 Kožušice Quick edit Valid 2013-05-30 593184
593192 Krásensko Quick edit Valid 2013-05-30 593192
593214 Křenovice Quick edit Valid 2013-05-30 593214
593222 Křižanovice Quick edit Valid 2013-05-30 593222
593231 Křižanovice u Vyškova Quick edit Valid 2013-05-30 593231
593249 Kučerov Quick edit Valid 2013-05-30 593249
593257 Letonice Quick edit Valid 2013-05-30 593257
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?