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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 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
12365 Vabel Quick edit Valid 2013-05-30 12365
12382 Vaglarovo Quick edit Valid 2013-05-30 12382
12396 Vaglevtsi Quick edit Valid 2013-05-30 12396
12406 Vaglen Quick edit Valid 2013-05-30 12406
12414 Vaglen Quick edit Valid 2013-05-30 12414
12423 Vazel Quick edit Valid 2013-05-30 12423
12440 Valkan Quick edit Valid 2013-05-30 12440
12454 Valkov dol Quick edit Valid 2013-05-30 12454
12468 Valkovich Quick edit Valid 2013-05-30 12468
12471 Valkovo Quick edit Valid 2013-05-30 12471
12485 Valkovtsi Quick edit Valid 2013-05-30 12485
12499 Valkosel Quick edit Valid 2013-05-30 12499
12509 Valnari Quick edit Valid 2013-05-30 12509
12512 Valchan Quick edit Valid 2013-05-30 12512
12526 Valchan dol Quick edit Valid 2013-05-30 12526
12530 Valcha polyana Quick edit Valid 2013-05-30 12530
12543 Valchedram Quick edit Valid 2013-05-30 12543
12557 Valchek Quick edit Valid 2013-05-30 12557
12560 Valche pole Quick edit Valid 2013-05-30 12560
12574 Valchi dol Quick edit Valid 2013-05-30 12574
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?