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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 1,101 to 1,120.First5253545556575859Last
Id Label Status Status Modified Notation
513911 Bystričany Quick edit Valid 2013-05-30 513911
513920 Cigeľ Quick edit Valid 2013-05-30 513920
513938 Čavoj Quick edit Valid 2013-05-30 513938
513946 Čereňany Quick edit Valid 2013-05-30 513946
513954 Diviacka Nová Ves Quick edit Valid 2013-05-30 513954
513962 Diviaky nad Nitricou Quick edit Valid 2013-05-30 513962
513971 Dlžín Quick edit Valid 2013-05-30 513971
513989 Dolné Vestenice Quick edit Valid 2013-05-30 513989
513997 Handlová Quick edit Valid 2013-05-30 513997
514004 Horná Ves Quick edit Valid 2013-05-30 514004
514012 Horné Vestenice Quick edit Valid 2013-05-30 514012
514021 Chrenovec-Brusno Quick edit Valid 2013-05-30 514021
514039 Chvojnica Quick edit Valid 2013-05-30 514039
514063 Kamenec pod Vtáčnikom Quick edit Valid 2013-05-30 514063
514071 Kanianka Quick edit Valid 2013-05-30 514071
514080 Kľačno Quick edit Valid 2013-05-30 514080
514098 Kocurany Quick edit Valid 2013-05-30 514098
514101 Kostolná Ves Quick edit Valid 2013-05-30 514101
514110 Koš Quick edit Valid 2013-05-30 514110
514128 Lazany Quick edit Valid 2013-05-30 514128
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?