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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 3,101 to 3,120.First152153154155156157158159Last
Id Label Status Status Modified Notation
kll Kagan Kalagan Quick edit Valid 2014-03-20 kll
klm Migum Quick edit Valid 2014-03-20 klm
kln Kalenjin Quick edit Valid 2014-03-20 kln
klo Kapya Quick edit Valid 2014-03-20 klo
klp Kamasa Quick edit Valid 2014-03-20 klp
klq Rumu Quick edit Valid 2014-03-20 klq
klr Khaling Quick edit Valid 2014-03-20 klr
kls Kalasha Quick edit Valid 2014-03-20 kls
klt Nukna Quick edit Valid 2014-03-20 klt
klu Klao Quick edit Valid 2014-03-20 klu
klv Maskelynes Quick edit Valid 2014-03-20 klv
klw Lindu Quick edit Valid 2014-03-20 klw
klx Koluwawa Quick edit Valid 2014-03-20 klx
kly Kalao Quick edit Valid 2014-03-20 kly
klz Kabola Quick edit Valid 2014-03-20 klz
kma Konni Quick edit Valid 2014-03-20 kma
kmb Kimbundu Quick edit Valid 2014-03-20 kmb
kmc Southern Dong Quick edit Valid 2014-03-20 kmc
kmd Majukayang Kalinga Quick edit Valid 2014-03-20 kmd
kme Bakole Quick edit Valid 2014-03-20 kme
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?