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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch 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

4,043 concepts found, displaying 21 to 40.First12345678Last
Id Label Status Status Modified Notation
AG Antigua and Barbuda Quick edit Valid 2013-09-25 AG
AI Anguilla (UK) Quick edit Valid 2013-09-25 AI
AL Albania Quick edit Valid 2013-09-25 AL
AL0 Shqipëria Quick edit Valid 2014-06-24 AL0
AL01 Veri Quick edit Valid 2014-06-24 AL01
AL011 Dibër Quick edit Valid 2014-06-24 AL011
AL012 Durrës Quick edit Valid 2014-06-24 AL012
AL013 Kukës Quick edit Valid 2014-06-24 AL013
AL014 Lezhë Quick edit Valid 2014-06-24 AL014
AL015 Shkodër Quick edit Valid 2014-06-24 AL015
AL02 Qender Quick edit Valid 2014-06-24 AL02
AL021 Elbasan Quick edit Valid 2014-06-24 AL021
AL022 Tiranë Quick edit Valid 2014-06-24 AL022
AL03 Jug Quick edit Valid 2014-06-24 AL03
AL031 Berat Quick edit Valid 2014-06-24 AL031
AL032 Fier Quick edit Valid 2014-06-24 AL032
AL033 Gjirokastër Quick edit Valid 2014-06-24 AL033
AL034 Korcë Quick edit Valid 2014-06-24 AL034
AL035 Vlorë Quick edit Valid 2014-06-24 AL035
ALA Partner Countries in Asia and Latin America Quick edit Valid 2013-09-25 ALA
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?