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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 3,601 to 3,620.First177178179180181182183184Last
Id Label Status Status Modified Notation
lif Limbu Quick edit Valid 2014-03-20 lif
lig Ligbi Quick edit Valid 2014-03-20 lig
lih Lihir Quick edit Valid 2014-03-20 lih
lii Lingkhim Quick edit Valid 2014-03-20 lii
lij Ligurian Quick edit Valid 2014-03-20 lij
lik Lika Quick edit Valid 2014-03-20 lik
lil Lillooet Quick edit Valid 2014-03-20 lil
lim Limburgan Quick edit Valid 2014-03-20 lim
lin Lingala Quick edit Valid 2014-03-20 lin
lio Liki Quick edit Valid 2014-03-20 lio
lip Sekpele Quick edit Valid 2014-03-20 lip
liq Libido Quick edit Valid 2014-03-20 liq
lir Liberian English Quick edit Valid 2014-03-20 lir
lis Lisu Quick edit Valid 2014-03-20 lis
lit Lithuanian Quick edit Valid 2014-03-20 lit
liu Logorik Quick edit Valid 2014-03-20 liu
liv Liv Quick edit Valid 2014-03-20 liv
liw Col Quick edit Valid 2014-03-20 liw
lix Liabuku Quick edit Valid 2014-03-20 lix
liy Banda-Bambari Quick edit Valid 2014-03-20 liy
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?