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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 4,021 to 4,040.First198199200201202203204205Last
Id Label Status Status Modified Notation
mij Abar Quick edit Valid 2014-03-20 mij
mik Mikasuki Quick edit Valid 2014-03-20 mik
mil Peñoles Mixtec Quick edit Valid 2014-03-20 mil
mim Alacatlatzala Mixtec Quick edit Valid 2014-03-20 mim
min Minangkabau Quick edit Valid 2014-03-20 min
mio Pinotepa Nacional Mixtec Quick edit Valid 2014-03-20 mio
mip Apasco-Apoala Mixtec Quick edit Valid 2014-03-20 mip
miq Mískito Quick edit Valid 2014-03-20 miq
mir Isthmus Mixe Quick edit Valid 2014-03-20 mir
mis Uncoded languages Quick edit Valid 2014-03-20 mis
mit Southern Puebla Mixtec Quick edit Valid 2014-03-20 mit
miu Cacaloxtepec Mixtec Quick edit Valid 2014-03-20 miu
miw Akoye Quick edit Valid 2014-03-20 miw
mix Mixtepec Mixtec Quick edit Valid 2014-03-20 mix
miy Ayutla Mixtec Quick edit Valid 2014-03-20 miy
miz Coatzospan Mixtec Quick edit Valid 2014-03-20 miz
mjc San Juan Colorado Mixtec Quick edit Valid 2014-03-20 mjc
mjd Northwest Maidu Quick edit Valid 2014-03-20 mjd
mje Muskum Quick edit Valid 2014-03-20 mje
mjg Tu Quick edit Valid 2014-03-20 mjg
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?