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 801 to 820.First3738394041424344Last
Id Label Status Status Modified Notation
509817 Lomná Quick edit Valid 2013-05-30 509817
509825 Malatiná Quick edit Valid 2013-05-30 509825
509833 Medzibrodie nad Oravou Quick edit Valid 2013-05-30 509833
509850 Mútne Quick edit Valid 2013-05-30 509850
509868 Námestovo Quick edit Valid 2013-05-30 509868
509876 Nižná Quick edit Valid 2013-05-30 509876
509884 Novoť Quick edit Valid 2013-05-30 509884
509892 Oravská Jasenica Quick edit Valid 2013-05-30 509892
509906 Oravská Lesná Quick edit Valid 2013-05-30 509906
509914 Oravská Polhora Quick edit Valid 2013-05-30 509914
509922 Oravská Poruba Quick edit Valid 2013-05-30 509922
509931 Oravské Veselé Quick edit Valid 2013-05-30 509931
509949 Oravský Biely Potok Quick edit Valid 2013-05-30 509949
509957 Oravský Podzámok Quick edit Valid 2013-05-30 509957
509965 Osádka Quick edit Valid 2013-05-30 509965
509973 Párnica Quick edit Valid 2013-05-30 509973
509981 Podbiel Quick edit Valid 2013-05-30 509981
509990 Pokryváč Quick edit Valid 2013-05-30 509990
510009 Pribiš Quick edit Valid 2013-05-30 510009
510017 Pucov Quick edit Valid 2013-05-30 510017
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?