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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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
3130 Burundi, Bujumbura Quick edit Valid 2014-07-14 3130
3253 Argentina, Buenos Aires Quick edit Valid 2014-07-14 3253
3348 Mongolia, Ulan Bator Quick edit Valid 2014-07-14 3348
3374 Mozambique, Maputo Quick edit Valid 2014-07-14 3374
3439 Nicaragua, Managua Quick edit Valid 2014-07-14 3439
3452 Niger, Niamey Quick edit Valid 2014-07-14 3452
3493 Panama, Panama Quick edit Valid 2014-07-14 3493
3528 Paraguay, Asuncion Quick edit Valid 2014-07-14 3528
3540 Peru, Lima Quick edit Valid 2014-07-14 3540
3581 Rwanda, Kigali Quick edit Valid 2014-07-14 3581
3595 Saint Kitts and Nevis, Saint Kitts Quick edit Valid 2014-07-14 3595
3601 Senegal, Dakar Quick edit Valid 2014-07-14 3601
3644 Suriname, Paramaribo Quick edit Valid 2014-07-14 3644
3698 United Republic of Tanzania, Zanzibar Quick edit Valid 2014-07-14 3698
3886 Uruguay, Montevideo Quick edit Valid 2014-07-14 3886
4073 Chile, Santiago Quick edit Valid 2014-07-14 4073
4081 Congo, Brazzaville Quick edit Valid 2014-07-14 4081
4109 Brazil, Sao Paulo Quick edit Valid 2014-07-14 4109
4122 Angola, Luanda Quick edit Valid 2014-07-14 4122
4235 Burkina Faso, Ouagadougou Quick edit Valid 2014-07-14 4235
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?