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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 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
mao Maori Quick edit Valid 2016-02-03 mao
map Austronesian languages Quick edit Valid 2016-02-03 map
mar Marathi Quick edit Valid 2016-02-03 mar
mas Masai Quick edit Valid 2016-02-03 mas
may Malay Quick edit Valid 2016-02-03 may
mdf Moksha Quick edit Valid 2016-02-03 mdf
mdr Mandar Quick edit Valid 2016-02-03 mdr
men Mende Quick edit Valid 2016-02-03 men
mga Irish, Middle (900-1200) Quick edit Valid 2016-02-03 mga
mic Mi'kmaq | Micmac Quick edit Valid 2016-02-03 mic
min Minangkabau Quick edit Valid 2016-02-03 min
mis Uncoded languages Quick edit Valid 2016-02-03 mis
mkd Macedonian Quick edit Valid 2016-02-03 mkd
mkh Mon-Khmer languages Quick edit Valid 2016-02-03 mkh
mlg Malagasy Quick edit Valid 2016-02-03 mlg
mlt Maltese Quick edit Valid 2016-02-03 mlt
mnc Manchu Quick edit Valid 2016-02-03 mnc
mni Manipuri Quick edit Valid 2016-02-03 mni
mno Manobo languages Quick edit Valid 2016-02-03 mno
moh Mohawk Quick edit Valid 2016-02-03 moh
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?