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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
224451302 Miasteczko Śląskie Quick edit Valid 2013-05-30 224451302
224451303 Radzionków Quick edit Valid 2013-05-30 224451303
224451304 Tarnowskie Góry Quick edit Valid 2013-05-30 224451304
224451305 Krupski Młyn Quick edit Valid 2013-05-30 224451305
224451306 Ożarowice Quick edit Valid 2013-05-30 224451306
224451307 Świerklaniec Quick edit Valid 2013-05-30 224451307
224451308 Tworóg Quick edit Valid 2013-05-30 224451308
224451309 Zbrosławice Quick edit Valid 2013-05-30 224451309
224456201 Bytom Quick edit Valid 2013-05-30 224456201
224457101 Piekary Śląskie Quick edit Valid 2013-05-30 224457101
224460401 Blachownia Quick edit Valid 2013-05-30 224460401
224460402 Dąbrowa Zielona Quick edit Valid 2013-05-30 224460402
224460403 Janów Quick edit Valid 2013-05-30 224460403
224460404 Kamienica Polska Quick edit Valid 2013-05-30 224460404
224460405 Kłomnice Quick edit Valid 2013-05-30 224460405
224460406 Koniecpol Quick edit Valid 2013-05-30 224460406
224460407 Konopiska Quick edit Valid 2013-05-30 224460407
224460408 Kruszyna Quick edit Valid 2013-05-30 224460408
224460409 Lelów Quick edit Valid 2013-05-30 224460409
224460410 Mstów Quick edit Valid 2013-05-30 224460410
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?