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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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

7,878 concepts found, displaying 4,101 to 4,120.First202203204205206207208209Last
Id Label Status Status Modified Notation
mlr Vame Quick edit Valid 2014-03-20 mlr
mls Masalit Quick edit Valid 2014-03-20 mls
mlt Maltese Quick edit Valid 2014-03-20 mlt
mlu To'abaita Quick edit Valid 2014-03-20 mlu
mlv Motlav Quick edit Valid 2014-03-20 mlv
mlw Moloko Quick edit Valid 2014-03-20 mlw
mlx Malfaxal Quick edit Valid 2014-03-20 mlx
mlz Malaynon Quick edit Valid 2014-03-20 mlz
mma Mama Quick edit Valid 2014-03-20 mma
mmb Momina Quick edit Valid 2014-03-20 mmb
mmc Michoacán Mazahua Quick edit Valid 2014-03-20 mmc
mmd Maonan Quick edit Valid 2014-03-20 mmd
mme Mae Quick edit Valid 2014-03-20 mme
mmf Mundat Quick edit Valid 2014-03-20 mmf
mmg North Ambrym Quick edit Valid 2014-03-20 mmg
mmh Mehináku Quick edit Valid 2014-03-20 mmh
mmi Musar Quick edit Valid 2014-03-20 mmi
mmj Majhwar Quick edit Valid 2014-03-20 mmj
mmk Mukha-Dora Quick edit Valid 2014-03-20 mmk
mml Man Met Quick edit Valid 2014-03-20 mml
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?