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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 5,501 to 5,520.First272273274275276277278279Last
Id Label Status Status Modified Notation
590991 Lesní Jakubov Quick edit Valid 2013-05-30 590991
591009 Lesonice Quick edit Valid 2013-05-30 591009
591025 Lhánice Quick edit Valid 2013-05-30 591025
591041 Lipník Quick edit Valid 2013-05-30 591041
591068 Litovany Quick edit Valid 2013-05-30 591068
591092 Loukovice Quick edit Valid 2013-05-30 591092
591114 Markvartice Quick edit Valid 2013-05-30 591114
591122 Mastník Quick edit Valid 2013-05-30 591122
591149 Meziříčko Quick edit Valid 2013-05-30 591149
591157 Mikulovice Quick edit Valid 2013-05-30 591157
591165 Mladoňovice Quick edit Valid 2013-05-30 591165
591173 Mohelno Quick edit Valid 2013-05-30 591173
591181 Moravské Budějovice Quick edit Valid 2013-05-30 591181
591190 Myslibořice Quick edit Valid 2013-05-30 591190
591211 Náměšť nad Oslavou Quick edit Valid 2013-05-30 591211
591220 Nárameč Quick edit Valid 2013-05-30 591220
591238 Nimpšov Quick edit Valid 2013-05-30 591238
591246 Nová Ves Quick edit Valid 2013-05-30 591246
591254 Nové Syrovice Quick edit Valid 2013-05-30 591254
591262 Nový Telečkov Quick edit Valid 2013-05-30 591262
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?