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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

6,130 concepts found, displaying 5,381 to 5,400.First266267268269270271272273Last
Id Label Status Status Modified Notation
850603 Vikio Quick edit Valid 2013-05-30 850603
850604 Kampia Quick edit Valid 2013-05-30 850604
850605 Pityous Quick edit Valid 2013-05-30 850605
850606 Spartounta Quick edit Valid 2013-05-30 850606
850701 Pyrgio Quick edit Valid 2013-05-30 850701
850702 Armolia Quick edit Valid 2013-05-30 850702
850703 Vessa Quick edit Valid 2013-05-30 850703
850704 Elata Quick edit Valid 2013-05-30 850704
850705 Kalamoti Quick edit Valid 2013-05-30 850705
850706 Lithio Quick edit Valid 2013-05-30 850706
850707 Mesta Quick edit Valid 2013-05-30 850707
850708 Olympi Quick edit Valid 2013-05-30 850708
850709 Patrika Quick edit Valid 2013-05-30 850709
850801 Inousses Quick edit Valid 2013-05-30 850801
850901 Vrontados Quick edit Valid 2013-05-30 850901
850902 Anavatos Quick edit Valid 2013-05-30 850902
850903 Avgonyma Quick edit Valid 2013-05-30 850903
850904 Karyes Quick edit Valid 2013-05-30 850904
850905 Lagada Quick edit Valid 2013-05-30 850905
850906 Sidirounta Quick edit Valid 2013-05-30 850906
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?