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: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

7,878 concepts found, displaying 5,101 to 5,120.First252253254255256257258259Last
Id Label Status Status Modified Notation
oue Oune Quick edit Valid 2014-03-20 oue
oui Old Uighur Quick edit Valid 2014-03-20 oui
oum Ouma Quick edit Valid 2014-03-20 oum
oun !O!ung Quick edit Valid 2014-03-20 oun
owi Owiniga Quick edit Valid 2014-03-20 owi
owl Old Welsh Quick edit Valid 2014-03-20 owl
oyb Oy Quick edit Valid 2014-03-20 oyb
oyd Oyda Quick edit Valid 2014-03-20 oyd
oym Wayampi Quick edit Valid 2014-03-20 oym
oyy Oya'oya Quick edit Valid 2014-03-20 oyy
ozm Koonzime Quick edit Valid 2014-03-20 ozm
pab Parecís Quick edit Valid 2014-03-20 pab
pac Pacoh Quick edit Valid 2014-03-20 pac
pad Paumarí Quick edit Valid 2014-03-20 pad
pae Pagibete Quick edit Valid 2014-03-20 pae
paf Paranawát Quick edit Valid 2014-03-20 paf
pag Pangasinan Quick edit Valid 2014-03-20 pag
pah Tenharim Quick edit Valid 2014-03-20 pah
pai Pe Quick edit Valid 2014-03-20 pai
pak Parakanã Quick edit Valid 2014-03-20 pak
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?