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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: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

5,302 concepts found, displaying 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
04282 Blagoevo Quick edit Valid 2013-05-30 04282
04296 Blagoevo Quick edit Valid 2013-05-30 04296
04306 Blagun Quick edit Valid 2013-05-30 04306
04314 Blazhievo Quick edit Valid 2013-05-30 04314
04323 Blatets Quick edit Valid 2013-05-30 04323
04337 Blatets Quick edit Valid 2013-05-30 04337
04340 Blateshnitsa Quick edit Valid 2013-05-30 04340
04354 Blatino Quick edit Valid 2013-05-30 04354
04368 Blatnitsa Quick edit Valid 2013-05-30 04368
04371 Blato Quick edit Valid 2013-05-30 04371
04399 Blatska Quick edit Valid 2013-05-30 04399
04409 Blenika Quick edit Valid 2013-05-30 04409
04412 Bliznak Quick edit Valid 2013-05-30 04412
04426 Bliznatsi Quick edit Valid 2013-05-30 04426
04430 Bliznatsi Quick edit Valid 2013-05-30 04430
04443 Bliznets Quick edit Valid 2013-05-30 04443
04457 Blaskovo Quick edit Valid 2013-05-30 04457
04460 Blaskovtsi Quick edit Valid 2013-05-30 04460
04474 Boazat Quick edit Valid 2013-05-30 04474
04488 Bobevtsi Quick edit Valid 2013-05-30 04488
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?