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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 1,941 to 1,960.First949596979899100101Last
Id Label Status Status Modified Notation
548481 Lány Quick edit Valid 2013-05-30 548481
548499 Sloupno Quick edit Valid 2013-05-30 548499
548502 Onšov Quick edit Valid 2013-05-30 548502
548511 Pacov Quick edit Valid 2013-05-30 548511
548529 Kochánov Quick edit Valid 2013-05-30 548529
548537 Úhořilka Quick edit Valid 2013-05-30 548537
548545 Píšť Quick edit Valid 2013-05-30 548545
548553 Slavětín Quick edit Valid 2013-05-30 548553
548561 Počátky Quick edit Valid 2013-05-30 548561
548570 Kunemil Quick edit Valid 2013-05-30 548570
548588 Okrouhlička Quick edit Valid 2013-05-30 548588
548596 Heřmanice Quick edit Valid 2013-05-30 548596
548600 Pošná Quick edit Valid 2013-05-30 548600
548618 Kraborovice Quick edit Valid 2013-05-30 548618
548626 Zvěstovice Quick edit Valid 2013-05-30 548626
548634 Podmoklany Quick edit Valid 2013-05-30 548634
548642 Hřibiny-Ledská Quick edit Valid 2013-05-30 548642
548651 Libel Quick edit Valid 2013-05-30 548651
548669 Rohenice Quick edit Valid 2013-05-30 548669
548677 Vysoký Újezd Quick edit Valid 2013-05-30 548677
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?