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 5,121 to 5,140.First253254255256257258259260Last
Id Label Status Status Modified Notation
pal Pahlavi Quick edit Valid 2014-03-20 pal
pam Pampanga Quick edit Valid 2014-03-20 pam
pan Panjabi Quick edit Valid 2014-03-20 pan
pao Northern Paiute Quick edit Valid 2014-03-20 pao
pap Papiamento Quick edit Valid 2014-03-20 pap
paq Parya Quick edit Valid 2014-03-20 paq
par Panamint Quick edit Valid 2014-03-20 par
pas Papasena Quick edit Valid 2014-03-20 pas
pat Papitalai Quick edit Valid 2014-03-20 pat
pau Palauan Quick edit Valid 2014-03-20 pau
pav Pakaásnovos Quick edit Valid 2014-03-20 pav
paw Pawnee Quick edit Valid 2014-03-20 paw
pax Pankararé Quick edit Valid 2014-03-20 pax
pay Pech Quick edit Valid 2014-03-20 pay
paz Pankararú Quick edit Valid 2014-03-20 paz
pbb Páez Quick edit Valid 2014-03-20 pbb
pbc Patamona Quick edit Valid 2014-03-20 pbc
pbe Mezontla Popoloca Quick edit Valid 2014-03-20 pbe
pbf Coyotepec Popoloca Quick edit Valid 2014-03-20 pbf
pbg Paraujano Quick edit Valid 2014-03-20 pbg
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?