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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 3,981 to 4,000.First196197198199200201202203Last
Id Label Status Status Modified Notation
mgs Manda (Tanzania) Quick edit Valid 2014-03-20 mgs
mgt Mongol Quick edit Valid 2014-03-20 mgt
mgu Mailu Quick edit Valid 2014-03-20 mgu
mgv Matengo Quick edit Valid 2014-03-20 mgv
mgw Matumbi Quick edit Valid 2014-03-20 mgw
mgy Mbunga Quick edit Valid 2014-03-20 mgy
mgz Mbugwe Quick edit Valid 2014-03-20 mgz
mha Manda (India) Quick edit Valid 2014-03-20 mha
mhb Mahongwe Quick edit Valid 2014-03-20 mhb
mhc Mocho Quick edit Valid 2014-03-20 mhc
mhd Mbugu Quick edit Valid 2014-03-20 mhd
mhe Besisi Quick edit Valid 2014-03-20 mhe
mhf Mamaa Quick edit Valid 2014-03-20 mhf
mhg Margu Quick edit Valid 2014-03-20 mhg
mhi Ma'di Quick edit Valid 2014-03-20 mhi
mhj Mogholi Quick edit Valid 2014-03-20 mhj
mhk Mungaka Quick edit Valid 2014-03-20 mhk
mhl Mauwake Quick edit Valid 2014-03-20 mhl
mhm Makhuwa-Moniga Quick edit Valid 2014-03-20 mhm
mhn Mócheno Quick edit Valid 2014-03-20 mhn
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?