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
 

Vocabulary concepts

506 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
chi Chinese Quick edit Valid 2016-02-03 chi
chk Chuukese Quick edit Valid 2016-02-03 chk
chm Mari Quick edit Valid 2016-02-03 chm
chn Chinook jargon Quick edit Valid 2016-02-03 chn
cho Choctaw Quick edit Valid 2016-02-03 cho
chp Chipewyan | Dene Suline Quick edit Valid 2016-02-03 chp
chr Cherokee Quick edit Valid 2016-02-03 chr
chu Church Slavic | Old Slavonic | Church Slavonic | Old Bulgarian | Old Church Slavonic Quick edit Valid 2016-02-03 chu
chv Chuvash Quick edit Valid 2016-02-03 chv
chy Cheyenne Quick edit Valid 2016-02-03 chy
cmc Chamic languages Quick edit Valid 2016-02-03 cmc
cop Coptic Quick edit Valid 2016-02-03 cop
cor Cornish Quick edit Valid 2016-02-03 cor
cos Corsican Quick edit Valid 2016-02-03 cos
cpe Creoles and pidgins, English based Quick edit Valid 2016-02-03 cpe
cpf Creoles and pidgins, French-based Quick edit Valid 2016-02-03 cpf
cpp Creoles and pidgins, Portuguese-based Quick edit Valid 2016-02-03 cpp
cre Cree Quick edit Valid 2016-02-03 cre
crh Crimean Tatar | Crimean Turkish Quick edit Valid 2016-02-03 crh
crp Creoles and pidgins Quick edit Valid 2016-02-03 crp
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?