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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 6,761 to 6,780.First335336337338339340341342Last
Id Label Status Status Modified Notation
uli Ulithian Quick edit Valid 2014-03-20 uli
ulk Meriam Quick edit Valid 2014-03-20 ulk
ull Ullatan Quick edit Valid 2014-03-20 ull
ulm Ulumanda' Quick edit Valid 2014-03-20 ulm
uln Unserdeutsch Quick edit Valid 2014-03-20 uln
ulu Uma' Lung Quick edit Valid 2014-03-20 ulu
ulw Ulwa Quick edit Valid 2014-03-20 ulw
uma Umatilla Quick edit Valid 2014-03-20 uma
umb Umbundu Quick edit Valid 2014-03-20 umb
umc Marrucinian Quick edit Valid 2014-03-20 umc
umd Umbindhamu Quick edit Valid 2014-03-20 umd
umg Umbuygamu Quick edit Valid 2014-03-20 umg
umi Ukit Quick edit Valid 2014-03-20 umi
umm Umon Quick edit Valid 2014-03-20 umm
umn Makyan Naga Quick edit Valid 2014-03-20 umn
umo Umotína Quick edit Valid 2014-03-20 umo
ump Umpila Quick edit Valid 2014-03-20 ump
umr Umbugarla Quick edit Valid 2014-03-20 umr
ums Pendau Quick edit Valid 2014-03-20 ums
umu Munsee Quick edit Valid 2014-03-20 umu
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?