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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 5,321 to 5,340.First263264265266267268269270Last
Id Label Status Status Modified Notation
pns Ponosakan Quick edit Valid 2014-03-20 pns
pnt Pontic Quick edit Valid 2014-03-20 pnt
pnu Jiongnai Bunu Quick edit Valid 2014-03-20 pnu
pnv Pinigura Quick edit Valid 2014-03-20 pnv
pnw Panytyima Quick edit Valid 2014-03-20 pnw
pnx Phong-Kniang Quick edit Valid 2014-03-20 pnx
pny Pinyin Quick edit Valid 2014-03-20 pny
pnz Pana (Central African Republic) Quick edit Valid 2014-03-20 pnz
poc Poqomam Quick edit Valid 2014-03-20 poc
pod Ponares Quick edit Valid 2014-03-20 pod
poe San Juan Atzingo Popoloca Quick edit Valid 2014-03-20 poe
pof Poke Quick edit Valid 2014-03-20 pof
pog Potiguára Quick edit Valid 2014-03-20 pog
poh Poqomchi' Quick edit Valid 2014-03-20 poh
poi Highland Popoluca Quick edit Valid 2014-03-20 poi
pok Pokangá Quick edit Valid 2014-03-20 pok
pol Polish Quick edit Valid 2014-03-20 pol
pom Southeastern Pomo Quick edit Valid 2014-03-20 pom
pon Pohnpeian Quick edit Valid 2014-03-20 pon
poo Central Pomo Quick edit Valid 2014-03-20 poo
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?