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 7,301 to 7,320.First362363364365366367368369Last
Id Label Status Status Modified Notation
xmk Ancient Macedonian Quick edit Valid 2014-03-20 xmk
xml Malaysian Sign Language Quick edit Valid 2014-03-20 xml
xmm Manado Malay Quick edit Valid 2014-03-20 xmm
xmn Manichaean Middle Persian Quick edit Valid 2014-03-20 xmn
xmo Morerebi Quick edit Valid 2014-03-20 xmo
xmp Kuku-Mu'inh Quick edit Valid 2014-03-20 xmp
xmq Kuku-Mangk Quick edit Valid 2014-03-20 xmq
xmr Meroitic Quick edit Valid 2014-03-20 xmr
xms Moroccan Sign Language Quick edit Valid 2014-03-20 xms
xmt Matbat Quick edit Valid 2014-03-20 xmt
xmu Kamu Quick edit Valid 2014-03-20 xmu
xmv Antankarana Malagasy Quick edit Valid 2014-03-20 xmv
xmw Tsimihety Malagasy Quick edit Valid 2014-03-20 xmw
xmx Maden Quick edit Valid 2014-03-20 xmx
xmy Mayaguduna Quick edit Valid 2014-03-20 xmy
xmz Mori Bawah Quick edit Valid 2014-03-20 xmz
xna Ancient North Arabian Quick edit Valid 2014-03-20 xna
xnb Kanakanabu Quick edit Valid 2014-03-20 xnb
xng Middle Mongolian Quick edit Valid 2014-03-20 xng
xnh Kuanhua Quick edit Valid 2014-03-20 xnh
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?