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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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
16267 Gorna krepost Quick edit Valid 2013-05-30 16267
16273 Gorna Krushitsa Quick edit Valid 2013-05-30 16273
16287 Gorna kula Quick edit Valid 2013-05-30 16287
16290 Gorna Lipnitsa Quick edit Valid 2013-05-30 16290
16300 Gorna Luka Quick edit Valid 2013-05-30 16300
16314 Gorna Malina Quick edit Valid 2013-05-30 16314
16328 Gorna mahala Quick edit Valid 2013-05-30 16328
16331 Gorna Melna Quick edit Valid 2013-05-30 16331
16345 Gorna Mitropolia Quick edit Valid 2013-05-30 16345
16359 Gorna Oryahovitsa Quick edit Valid 2013-05-30 16359
16362 Gorna Ribnitsa Quick edit Valid 2013-05-30 16362
16376 Gorna Rositsa Quick edit Valid 2013-05-30 16376
16382 Gorna Sekirna Quick edit Valid 2013-05-30 16382
16393 Gorna Studena Quick edit Valid 2013-05-30 16393
16403 Gorna Sushitsa Quick edit Valid 2013-05-30 16403
16417 Gorna Hadzhiyska Quick edit Valid 2013-05-30 16417
16420 Gorna Hubavka Quick edit Valid 2013-05-30 16420
16448 Gorni Bogrov Quick edit Valid 2013-05-30 16448
16451 Gorni Vadin Quick edit Valid 2013-05-30 16451
16479 Gorni Varpishta Quick edit Valid 2013-05-30 16479
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?