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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 5,381 to 5,400.First266267268269270271272273Last
Id Label Status Status Modified Notation
prs Dari Quick edit Valid 2014-03-20 prs
prt Phai Quick edit Valid 2014-03-20 prt
pru Puragi Quick edit Valid 2014-03-20 pru
prw Parawen Quick edit Valid 2014-03-20 prw
prx Purik Quick edit Valid 2014-03-20 prx
pry Pray 3 Quick edit Valid 2014-03-20 pry
prz Providencia Sign Language Quick edit Valid 2014-03-20 prz
psa Asue Awyu Quick edit Valid 2014-03-20 psa
psc Persian Sign Language Quick edit Valid 2014-03-20 psc
psd Plains Indian Sign Language Quick edit Valid 2014-03-20 psd
pse Central Malay Quick edit Valid 2014-03-20 pse
psg Penang Sign Language Quick edit Valid 2014-03-20 psg
psh Southwest Pashayi Quick edit Valid 2014-03-20 psh
psi Southeast Pashayi Quick edit Valid 2014-03-20 psi
psl Puerto Rican Sign Language Quick edit Valid 2014-03-20 psl
psm Pauserna Quick edit Valid 2014-03-20 psm
psn Panasuan Quick edit Valid 2014-03-20 psn
pso Polish Sign Language Quick edit Valid 2014-03-20 pso
psp Philippine Sign Language Quick edit Valid 2014-03-20 psp
psq Pasi Quick edit Valid 2014-03-20 psq
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?