You are here:
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 3,701 to 3,720.First182183184185186187188189Last
Id Label Status Status Modified Notation
lnu Longuda Quick edit Valid 2014-03-20 lnu
lnw Lanima Quick edit Valid 2014-03-20 lnw
lnz Lonzo Quick edit Valid 2014-03-20 lnz
loa Loloda Quick edit Valid 2014-03-20 loa
lob Lobi Quick edit Valid 2014-03-20 lob
loc Inonhan Quick edit Valid 2014-03-20 loc
loe Saluan Quick edit Valid 2014-03-20 loe
lof Logol Quick edit Valid 2014-03-20 lof
log Logo Quick edit Valid 2014-03-20 log
loh Narim Quick edit Valid 2014-03-20 loh
loi Loma (Côte d'Ivoire) Quick edit Valid 2014-03-20 loi
loj Lou Quick edit Valid 2014-03-20 loj
lok Loko Quick edit Valid 2014-03-20 lok
lol Mongo Quick edit Valid 2014-03-20 lol
lom Loma (Liberia) Quick edit Valid 2014-03-20 lom
lon Malawi Lomwe Quick edit Valid 2014-03-20 lon
loo Lombo Quick edit Valid 2014-03-20 loo
lop Lopa Quick edit Valid 2014-03-20 lop
loq Lobala Quick edit Valid 2014-03-20 loq
lor Téén Quick edit Valid 2014-03-20 lor
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?