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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
510793 Ľubeľa Quick edit Valid 2013-05-30 510793
510807 Ľubochňa Quick edit Valid 2013-05-30 510807
510815 Lúčky Quick edit Valid 2013-05-30 510815
510823 Ludrová Quick edit Valid 2013-05-30 510823
510831 Malatíny Quick edit Valid 2013-05-30 510831
510840 Malé Borové Quick edit Valid 2013-05-30 510840
510858 Malužiná Quick edit Valid 2013-05-30 510858
510866 Martinček Quick edit Valid 2013-05-30 510866
510874 Nižná Boca Quick edit Valid 2013-05-30 510874
510904 Partizánska Ľupča Quick edit Valid 2013-05-30 510904
510912 Pavčina Lehota Quick edit Valid 2013-05-30 510912
510921 Pavlova Ves Quick edit Valid 2013-05-30 510921
510947 Podtureň Quick edit Valid 2013-05-30 510947
510955 Potok Quick edit Valid 2013-05-30 510955
510963 Pribylina Quick edit Valid 2013-05-30 510963
510971 Prosiek Quick edit Valid 2013-05-30 510971
510998 Ružomberok Quick edit Valid 2013-05-30 510998
511005 Liptovské Sliače Quick edit Valid 2013-05-30 511005
511013 Smrečany Quick edit Valid 2013-05-30 511013
511030 Stankovany Quick edit Valid 2013-05-30 511030
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?