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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 5,701 to 5,720.First282283284285286287288289Last
Id Label Status Status Modified Notation
593508 Pustiměř Quick edit Valid 2013-05-30 593508
593516 Račice-Pístovice Quick edit Valid 2013-05-30 593516
593524 Radslavice Quick edit Valid 2013-05-30 593524
593532 Rašovice Quick edit Valid 2013-05-30 593532
593559 Rousínov Quick edit Valid 2013-05-30 593559
593567 Ruprechtov Quick edit Valid 2013-05-30 593567
593583 Slavkov u Brna Quick edit Valid 2013-05-30 593583
593591 Snovídky Quick edit Valid 2013-05-30 593591
593605 Studnice Quick edit Valid 2013-05-30 593605
593613 Šaratice Quick edit Valid 2013-05-30 593613
593621 Švábenice Quick edit Valid 2013-05-30 593621
593630 Topolany Quick edit Valid 2013-05-30 593630
593648 Tučapy Quick edit Valid 2013-05-30 593648
593656 Vážany Quick edit Valid 2013-05-30 593656
593664 Vážany nad Litavou Quick edit Valid 2013-05-30 593664
593681 Velešovice Quick edit Valid 2013-05-30 593681
593699 Zbýšov Quick edit Valid 2013-05-30 593699
593702 Zelená Hora Quick edit Valid 2013-05-30 593702
593711 Znojmo Quick edit Valid 2013-05-30 593711
593729 Bantice Quick edit Valid 2013-05-30 593729
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?