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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

2,928 concepts found, displaying 121 to 140.First345678910Last
Id Label Status Status Modified Notation
501522 Veľký Meder Quick edit Valid 2013-05-30 501522
501531 Čiližská Radvaň Quick edit Valid 2013-05-30 501531
501549 Dobrohošť Quick edit Valid 2013-05-30 501549
501557 Dolný Bar Quick edit Valid 2013-05-30 501557
501573 Gabčíkovo Quick edit Valid 2013-05-30 501573
501581 Holice Quick edit Valid 2013-05-30 501581
501590 Horná Potôň Quick edit Valid 2013-05-30 501590
501603 Horný Bar Quick edit Valid 2013-05-30 501603
501611 Dolný Štál Quick edit Valid 2013-05-30 501611
501620 Hubice Quick edit Valid 2013-05-30 501620
501638 Hviezdoslavov Quick edit Valid 2008-04-28 501638
501654 Jahodná Quick edit Valid 2013-05-30 501654
501662 Janíky Quick edit Valid 2013-05-30 501662
501671 Jurová Quick edit Valid 2013-05-30 501671
501689 Kľúčovec Quick edit Valid 2013-05-30 501689
501697 Kostolné Kračany Quick edit Valid 2013-05-30 501697
501701 Kráľovičove Kračany Quick edit Valid 2013-05-30 501701
501719 Kútniky Quick edit Valid 2013-05-30 501719
501727 Kvetoslavov Quick edit Valid 2013-05-30 501727
501735 Lehnice Quick edit Valid 2013-05-30 501735
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?