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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 4,501 to 4,520.First222223224225226227228229Last
Id Label Status Status Modified Notation
579025 Trutnov Quick edit Valid 2013-05-30 579025
579033 Kornatice Quick edit Valid 2013-05-30 579033
579041 Batňovice Quick edit Valid 2013-05-30 579041
579050 Bernartice Quick edit Valid 2013-05-30 579050
579068 Bílá Třemešná Quick edit Valid 2013-05-30 579068
579076 Bílé Poličany Quick edit Valid 2013-05-30 579076
579084 Mešno Quick edit Valid 2013-05-30 579084
579092 Borovnice Quick edit Valid 2013-05-30 579092
579106 Čermná Quick edit Valid 2013-05-30 579106
579114 Černý Důl Quick edit Valid 2013-05-30 579114
579122 Dolní Branná Quick edit Valid 2013-05-30 579122
579131 Příkosice Quick edit Valid 2013-05-30 579131
579149 Dolní Dvůr Quick edit Valid 2013-05-30 579149
579157 Dolní Kalná Quick edit Valid 2013-05-30 579157
579165 Dolní Lánov Quick edit Valid 2013-05-30 579165
579173 Dolní Olešnice Quick edit Valid 2013-05-30 579173
579181 Doubravice Quick edit Valid 2013-05-30 579181
579190 Dubenec Quick edit Valid 2013-05-30 579190
579203 Dvůr Králové nad Labem Quick edit Valid 2013-05-30 579203
579211 Hajnice Quick edit Valid 2013-05-30 579211
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?