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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 5,421 to 5,440.First268269270271272273274275Last
Id Label Status Status Modified Notation
puc Punan Merap Quick edit Valid 2014-03-20 puc
pud Punan Aput Quick edit Valid 2014-03-20 pud
pue Puelche Quick edit Valid 2014-03-20 pue
puf Punan Merah Quick edit Valid 2014-03-20 puf
pug Phuie Quick edit Valid 2014-03-20 pug
pui Puinave Quick edit Valid 2014-03-20 pui
puj Punan Tubu Quick edit Valid 2014-03-20 puj
puk Pu Ko Quick edit Valid 2014-03-20 puk
pum Puma Quick edit Valid 2014-03-20 pum
puo Puoc Quick edit Valid 2014-03-20 puo
pup Pulabu Quick edit Valid 2014-03-20 pup
puq Puquina Quick edit Valid 2014-03-20 puq
pur Puruborá Quick edit Valid 2014-03-20 pur
pus Pushto Quick edit Valid 2014-03-20 pus
put Putoh Quick edit Valid 2014-03-20 put
puu Punu Quick edit Valid 2014-03-20 puu
puw Puluwatese Quick edit Valid 2014-03-20 puw
pux Puare Quick edit Valid 2014-03-20 pux
puy Purisimeño Quick edit Valid 2014-03-20 puy
pwa Pawaia Quick edit Valid 2014-03-20 pwa
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?