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 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
alx Amol Quick edit Valid 2014-03-20 alx
aly Alyawarr Quick edit Valid 2014-03-20 aly
alz Alur Quick edit Valid 2014-03-20 alz
ama Amanayé Quick edit Valid 2014-03-20 ama
amb Ambo Quick edit Valid 2014-03-20 amb
amc Amahuaca Quick edit Valid 2014-03-20 amc
ame Yanesha' Quick edit Valid 2014-03-20 ame
amf Hamer-Banna Quick edit Valid 2014-03-20 amf
amg Amurdak Quick edit Valid 2014-03-20 amg
amh Amharic Quick edit Valid 2014-03-20 amh
ami Amis Quick edit Valid 2014-03-20 ami
amj Amdang Quick edit Valid 2014-03-20 amj
amk Ambai Quick edit Valid 2014-03-20 amk
aml War-Jaintia Quick edit Valid 2014-03-20 aml
amm Ama (Papua New Guinea) Quick edit Valid 2014-03-20 amm
amn Amanab Quick edit Valid 2014-03-20 amn
amo Amo Quick edit Valid 2014-03-20 amo
amp Alamblak Quick edit Valid 2014-03-20 amp
amq Amahai Quick edit Valid 2014-03-20 amq
amr Amarakaeri Quick edit Valid 2014-03-20 amr
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?