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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

90 concepts found, displaying 21 to 40.First12345Last
Id Label Status Status Modified Notation
DEU Germany Quick edit Valid 2014-03-05 DEU
DNK Denmark Quick edit Valid 2014-03-05 DNK
DZA Algeria Quick edit Valid 2014-03-05 DZA
EGY Egypt Quick edit Valid 2014-03-05 EGY
ESP Spain Quick edit Valid 2014-03-05 ESP
EST Estonia Quick edit Valid 2014-03-05 EST
FIN Finland Quick edit Valid 2014-03-05 FIN
FLK Falkland Is. Quick edit Valid 2014-03-05 FLK
FRA France Quick edit Valid 2014-03-05 FRA
FRO Faroe Is. Quick edit Valid 2014-03-05 FRO
GBR United Kingdom Quick edit Valid 2014-03-05 GBR
GEO Georgia Quick edit Valid 2014-03-05 GEO
GIB Gibraltar Quick edit Valid 2014-03-05 GIB
GLP Guadeloupe Quick edit Valid 2014-03-05 GLP
GRC Greece Quick edit Valid 2014-03-05 GRC
GRL Greenland Quick edit Valid 2014-03-05 GRL
GUF French Guiana Quick edit Valid 2014-03-05 GUF
HRV Croatia Quick edit Valid 2014-03-05 HRV
HUN Hungary Quick edit Valid 2014-03-05 HUN
IOT British Indian Ocean Territory Quick edit Valid 2014-03-05 IOT
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?