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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:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

169 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
Loma Loma Quick edit Valid 2014-03-20 Loma
Lyci Lycian Quick edit Valid 2014-03-20 Lyci
Lydi Lydian Quick edit Valid 2014-03-20 Lydi
Mahj Mahajani Quick edit Valid 2014-03-20 Mahj
Mand Mandaic, Mandaean Quick edit Valid 2014-03-20 Mand
Mani Manichaean Quick edit Valid 2014-03-20 Mani
Maya Mayan hieroglyphs Quick edit Valid 2014-03-20 Maya
Mend Mende Kikakui Quick edit Valid 2014-03-20 Mend
Merc Meroitic Cursive Quick edit Valid 2014-03-20 Merc
Mero Meroitic Hieroglyphs Quick edit Valid 2014-03-20 Mero
Mlym Malayalam Quick edit Valid 2014-03-20 Mlym
Modi Modi, Moḍī Quick edit Valid 2014-03-20 Modi
Mong Mongolian Quick edit Valid 2014-03-20 Mong
Moon Moon (Moon code, Moon script, Moon type) Quick edit Valid 2014-03-20 Moon
Mroo Mro, Mru Quick edit Valid 2014-03-20 Mroo
Mtei Meitei Mayek (Meithei, Meetei) Quick edit Valid 2014-03-20 Mtei
Mult Multani Quick edit Valid 2014-03-20 Mult
Mymr Myanmar (Burmese) Quick edit Valid 2014-03-20 Mymr
Narb Old North Arabian (Ancient North Arabian) Quick edit Valid 2014-03-20 Narb
Nbat Nabataean Quick edit Valid 2014-03-20 Nbat
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?