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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 4,901 to 4,920.First242243244245246247248249Last
Id Label Status Status Modified Notation
584045 Újezd u Brna Quick edit Valid 2013-05-30 584045
584053 Újezd u Rosic Quick edit Valid 2013-05-30 584053
584061 Unkovice Quick edit Valid 2013-05-30 584061
584070 Úsuší Quick edit Valid 2013-05-30 584070
584096 Velatice Quick edit Valid 2013-05-30 584096
584100 Veverská Bítýška Quick edit Valid 2013-05-30 584100
584118 Veverské Knínice Quick edit Valid 2013-05-30 584118
584126 Viničné Šumice Quick edit Valid 2013-05-30 584126
584134 Vohančice Quick edit Valid 2013-05-30 584134
584142 Vojkovice Quick edit Valid 2013-05-30 584142
584151 Vranov Quick edit Valid 2013-05-30 584151
584169 Všechovice Quick edit Valid 2013-05-30 584169
584177 Vysoké Popovice Quick edit Valid 2013-05-30 584177
584185 Zakřany Quick edit Valid 2013-05-30 584185
584193 Zálesná Zhoř Quick edit Valid 2013-05-30 584193
584207 Zastávka Quick edit Valid 2013-05-30 584207
584215 Zbraslav Quick edit Valid 2013-05-30 584215
584223 Zbýšov Quick edit Valid 2013-05-30 584223
584231 Žabčice Quick edit Valid 2013-05-30 584231
584240 Žatčany Quick edit Valid 2013-05-30 584240
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?