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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 3,821 to 3,840.First188189190191192193194195Last
Id Label Status Status Modified Notation
mah Marshallese Quick edit Valid 2014-03-20 mah
mai Maithili Quick edit Valid 2014-03-20 mai
maj Jalapa De Díaz Mazatec Quick edit Valid 2014-03-20 maj
mak Makasar Quick edit Valid 2014-03-20 mak
mal Malayalam Quick edit Valid 2014-03-20 mal
mam Mam Quick edit Valid 2014-03-20 mam
man Mandingo Quick edit Valid 2014-03-20 man
maq Chiquihuitlán Mazatec Quick edit Valid 2014-03-20 maq
mar Marathi Quick edit Valid 2014-03-20 mar
mas Masai Quick edit Valid 2014-03-20 mas
mat San Francisco Matlatzinca Quick edit Valid 2014-03-20 mat
mau Huautla Mazatec Quick edit Valid 2014-03-20 mau
mav Sateré-Mawé Quick edit Valid 2014-03-20 mav
maw Mampruli Quick edit Valid 2014-03-20 maw
max North Moluccan Malay Quick edit Valid 2014-03-20 max
maz Central Mazahua Quick edit Valid 2014-03-20 maz
mba Higaonon Quick edit Valid 2014-03-20 mba
mbb Western Bukidnon Manobo Quick edit Valid 2014-03-20 mbb
mbc Macushi Quick edit Valid 2014-03-20 mbc
mbd Dibabawon Manobo Quick edit Valid 2014-03-20 mbd
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?