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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
adms:status Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
01 Oct 2015
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

30 concepts found, displaying 21 to 30.First12NextLast
Id Label Status Status Modified Notation
nuts2003 nuts2003 Quick edit Valid 2024-11-25 nuts2003
nuts2006 nuts2006 Quick edit Valid 2024-11-25 nuts2006
nuts2010 nuts2010 Quick edit Valid 2024-11-25 nuts2010
nuts2013 nuts2013 Quick edit Valid 2024-11-25 nuts2013
nuts2016 nuts2016 Quick edit Valid 2024-11-25 nuts2016
nuts2021 nuts2021 Quick edit Valid 2024-11-25 nuts2021
nuts2024 nuts2024 Quick edit Valid 2024-11-25 nuts2024
separateReclamationFacilityPlantCode separateReclamationFacilityPlantCode Quick edit Valid 2024-11-25 separateReclamationFacilityPlantCode
urbanWasteWaterTreatmentDischargePointCode urbanWasteWaterTreatmentDischargePointCode Quick edit Valid 2024-11-25 urbanWasteWaterTreatmentDischargePointCode
urbanWasteWaterTreatmentPlantCode urbanWasteWaterTreatmentPlantCode Quick edit Valid 2024-11-25 urbanWasteWaterTreatmentPlantCode
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?