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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 5,221 to 5,240.First258259260261262263264265Last
Id Label Status Status Modified Notation
phw Phangduwali Quick edit Valid 2014-03-20 phw
pia Pima Bajo Quick edit Valid 2014-03-20 pia
pib Yine Quick edit Valid 2014-03-20 pib
pic Pinji Quick edit Valid 2014-03-20 pic
pid Piaroa Quick edit Valid 2014-03-20 pid
pie Piro Quick edit Valid 2014-03-20 pie
pif Pingelapese Quick edit Valid 2014-03-20 pif
pig Pisabo Quick edit Valid 2014-03-20 pig
pih Pitcairn-Norfolk Quick edit Valid 2014-03-20 pih
pii Pini Quick edit Valid 2014-03-20 pii
pij Pijao Quick edit Valid 2014-03-20 pij
pil Yom Quick edit Valid 2014-03-20 pil
pim Powhatan Quick edit Valid 2014-03-20 pim
pin Piame Quick edit Valid 2014-03-20 pin
pio Piapoco Quick edit Valid 2014-03-20 pio
pip Pero Quick edit Valid 2014-03-20 pip
pir Piratapuyo Quick edit Valid 2014-03-20 pir
pis Pijin Quick edit Valid 2014-03-20 pis
pit Pitta Pitta Quick edit Valid 2014-03-20 pit
piu Pintupi-Luritja Quick edit Valid 2014-03-20 piu
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?