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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 4,941 to 4,960.First244245246247248249250251Last
Id Label Status Status Modified Notation
584487 Hrušky Quick edit Valid 2013-05-30 584487
584495 Hustopeče Quick edit Valid 2013-05-30 584495
584517 Ivaň Quick edit Valid 2013-05-30 584517
584525 Jevišovka Quick edit Valid 2013-05-30 584525
584541 Klentnice Quick edit Valid 2013-05-30 584541
584550 Klobouky u Brna Quick edit Valid 2013-05-30 584550
584568 Kobylí Quick edit Valid 2013-05-30 584568
584576 Kostice Quick edit Valid 2013-05-30 584576
584584 Krumvíř Quick edit Valid 2013-05-30 584584
584592 Křepice Quick edit Valid 2013-05-30 584592
584622 Lanžhot Quick edit Valid 2013-05-30 584622
584631 Lednice Quick edit Valid 2013-05-30 584631
584649 Mikulov Quick edit Valid 2013-05-30 584649
584657 Milovice Quick edit Valid 2013-05-30 584657
584665 Moravská Nová Ves Quick edit Valid 2013-05-30 584665
584673 Moravský Žižkov Quick edit Valid 2013-05-30 584673
584681 Morkůvky Quick edit Valid 2013-05-30 584681
584703 Němčičky Quick edit Valid 2013-05-30 584703
584711 Nikolčice Quick edit Valid 2013-05-30 584711
584720 Nosislav Quick edit Valid 2013-05-30 584720
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?