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 4,981 to 5,000.First246247248249250251252253Last
Id Label Status Status Modified Notation
ojp Old Japanese Quick edit Valid 2014-03-20 ojp
ojs Severn Ojibwa Quick edit Valid 2014-03-20 ojs
ojv Ontong Java Quick edit Valid 2014-03-20 ojv
ojw Western Ojibwa Quick edit Valid 2014-03-20 ojw
oka Okanagan Quick edit Valid 2014-03-20 oka
okb Okobo Quick edit Valid 2014-03-20 okb
okd Okodia Quick edit Valid 2014-03-20 okd
oke Okpe (Southwestern Edo) Quick edit Valid 2014-03-20 oke
okg Koko Babangk Quick edit Valid 2014-03-20 okg
okh Koresh-e Rostam Quick edit Valid 2014-03-20 okh
oki Okiek Quick edit Valid 2014-03-20 oki
okj Oko-Juwoi Quick edit Valid 2014-03-20 okj
okk Kwamtim One Quick edit Valid 2014-03-20 okk
okl Old Kentish Sign Language Quick edit Valid 2014-03-20 okl
okm Middle Korean (10th-16th cent.) Quick edit Valid 2014-03-20 okm
okn Oki-No-Erabu Quick edit Valid 2014-03-20 okn
oko Old Korean (3rd-9th cent.) Quick edit Valid 2014-03-20 oko
okr Kirike Quick edit Valid 2014-03-20 okr
oks Oko-Eni-Osayen Quick edit Valid 2014-03-20 oks
oku Oku Quick edit Valid 2014-03-20 oku
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?