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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
 

Vocabulary concepts

541 concepts found, displaying 421 to 440.First1819202122232425Last
Id Label Status Status Modified Notation
675 Oceania (EAA) Quick edit Valid 2014-07-14 675
676 Australia/NZealand (EAA) Quick edit Valid 2014-07-14 676
677 Other Oceania (EAA) Quick edit Valid 2014-07-14 677
680 Africa North Sahara(EAA) Quick edit Valid 2014-07-14 680
681 Africa South Sahara(EAA) Quick edit Valid 2014-07-14 681
683 Developed USSR Asia Quick edit Valid 2014-07-14 683
684 Developed USSR Europe Quick edit Valid 2014-07-14 684
685 Far East Quick edit Valid 2014-07-14 685
686 Near East Quick edit Valid 2014-07-14 686
687 Least Dev Countries(EAA) Quick edit Valid 2014-07-14 687
688 Far East and Oceania Quick edit Valid 2014-07-14 688
689 East Sth East Asiaand China Quick edit Valid 2014-07-14 689
2504 Mali, Bamako Quick edit Valid 2014-07-14 2504
2528 Malaysia, Sabah Quick edit Valid 2014-07-14 2528
2530 Maldives, Male Quick edit Valid 2014-07-14 2530
2536 Madagascar, Antananarivo Quick edit Valid 2014-07-14 2536
2646 Cambodia, Phnom Penh Quick edit Valid 2014-07-14 2646
2648 Kenya, Nairobi Quick edit Valid 2014-07-14 2648
2858 Gambia, Banjul Quick edit Valid 2014-07-14 2858
2899 Ethiopia, Addis Abeba Quick edit Valid 2014-07-14 2899
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?