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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 4,601 to 4,620.First227228229230231232233234Last
Id Label Status Status Modified Notation
ngy Tibea Quick edit Valid 2014-03-20 ngy
ngz Ngungwel Quick edit Valid 2014-03-20 ngz
nha Nhanda Quick edit Valid 2014-03-20 nha
nhb Beng Quick edit Valid 2014-03-20 nhb
nhc Tabasco Nahuatl Quick edit Valid 2014-03-20 nhc
nhd Chiripá Quick edit Valid 2014-03-20 nhd
nhe Eastern Huasteca Nahuatl Quick edit Valid 2014-03-20 nhe
nhf Nhuwala Quick edit Valid 2014-03-20 nhf
nhg Tetelcingo Nahuatl Quick edit Valid 2014-03-20 nhg
nhh Nahari Quick edit Valid 2014-03-20 nhh
nhi Zacatlán-Ahuacatlán-Tepetzintla Nahuatl Quick edit Valid 2014-03-20 nhi
nhk Isthmus-Cosoleacaque Nahuatl Quick edit Valid 2014-03-20 nhk
nhm Morelos Nahuatl Quick edit Valid 2014-03-20 nhm
nhn Central Nahuatl Quick edit Valid 2014-03-20 nhn
nho Takuu Quick edit Valid 2014-03-20 nho
nhp Isthmus-Pajapan Nahuatl Quick edit Valid 2014-03-20 nhp
nhq Huaxcaleca Nahuatl Quick edit Valid 2014-03-20 nhq
nhr Naro Quick edit Valid 2014-03-20 nhr
nht Ometepec Nahuatl Quick edit Valid 2014-03-20 nht
nhu Noone Quick edit Valid 2014-03-20 nhu
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?