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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:exactMatch 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

506 concepts found, displaying 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
nds Low German | Low Saxon | German, Low | Saxon, Low Quick edit Valid 2016-02-03 nds
nep Nepali Quick edit Valid 2016-02-03 nep
new Nepal Bhasa | Newari Quick edit Valid 2016-02-03 new
nia Nias Quick edit Valid 2016-02-03 nia
nic Niger-Kordofanian languages Quick edit Valid 2016-02-03 nic
niu Niuean Quick edit Valid 2016-02-03 niu
nld Dutch | Flemish Quick edit Valid 2016-02-03 nld
nno Norwegian Nynorsk | Nynorsk, Norwegian Quick edit Valid 2016-02-03 nno
nob Bokm�l, Norwegian | Norwegian Bokm�l Quick edit Valid 2016-02-03 nob
nog Nogai Quick edit Valid 2016-02-03 nog
non Norse, Old Quick edit Valid 2016-02-03 non
nor Norwegian Quick edit Valid 2016-02-03 nor
nqo N'Ko Quick edit Valid 2016-02-03 nqo
nso Pedi | Sepedi | Northern Sotho Quick edit Valid 2016-02-03 nso
nub Nubian languages Quick edit Valid 2016-02-03 nub
nwc Classical Newari | Old Newari | Classical Nepal Bhasa Quick edit Valid 2016-02-03 nwc
nya Chichewa | Chewa | Nyanja Quick edit Valid 2016-02-03 nya
nym Nyamwezi Quick edit Valid 2016-02-03 nym
nyn Nyankole Quick edit Valid 2016-02-03 nyn
nyo Nyoro Quick edit Valid 2016-02-03 nyo
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?