You are here:
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 1,421 to 1,440.First6869707172737475Last
Id Label Status Status Modified Notation
517682 Konská Quick edit Valid 2013-05-30 517682
517691 Kotešová Quick edit Valid 2013-05-30 517691
517704 Kotrčiná Lúčka Quick edit Valid 2013-05-30 517704
517712 Krasňany Quick edit Valid 2013-05-30 517712
517721 Kunerad Quick edit Valid 2013-05-30 517721
517739 Lietava Quick edit Valid 2013-05-30 517739
517755 Lietavská Svinná-Babkov Quick edit Valid 2013-05-30 517755
517763 Lutiše Quick edit Valid 2013-05-30 517763
517771 Lysica Quick edit Valid 2013-05-30 517771
517780 Malá Čierna Quick edit Valid 2013-05-30 517780
517798 Maršová-Rašov Quick edit Valid 2013-05-30 517798
517801 Mojš Quick edit Valid 2013-05-30 517801
517828 Nededza Quick edit Valid 2013-05-30 517828
517861 Petrovice Quick edit Valid 2013-05-30 517861
517879 Podhorie Quick edit Valid 2013-05-30 517879
517895 Predmier Quick edit Valid 2013-05-30 517895
517917 Rajec Quick edit Valid 2013-05-30 517917
517925 Rajecká Lesná Quick edit Valid 2013-05-30 517925
517933 Rajecké Teplice Quick edit Valid 2013-05-30 517933
517941 Rosina Quick edit Valid 2013-05-30 517941
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?