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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 681 to 700.First3132333435363738Last
Id Label Status Status Modified Notation
224440208 Porąbka Quick edit Valid 2013-05-30 224440208
224440209 Wilamowice Quick edit Valid 2013-05-30 224440209
224440210 Wilkowice Quick edit Valid 2013-05-30 224440210
224440301 Cieszyn Quick edit Valid 2013-05-30 224440301
224440302 Ustroń Quick edit Valid 2013-05-30 224440302
224440303 Wisła Quick edit Valid 2013-05-30 224440303
224440304 Brenna Quick edit Valid 2013-05-30 224440304
224440305 Chybie Quick edit Valid 2013-05-30 224440305
224440306 Dębowiec Quick edit Valid 2013-05-30 224440306
224440307 Goleszów Quick edit Valid 2013-05-30 224440307
224440308 Hażlach Quick edit Valid 2013-05-30 224440308
224440309 Istebna Quick edit Valid 2013-05-30 224440309
224440310 Skoczów Quick edit Valid 2013-05-30 224440310
224440311 Strumień Quick edit Valid 2013-05-30 224440311
224440312 Zebrzydowice Quick edit Valid 2013-05-30 224440312
224441701 Żywiec Quick edit Valid 2013-05-30 224441701
224441702 Czernichów Quick edit Valid 2013-05-30 224441702
224441703 Gilowice Quick edit Valid 2013-05-30 224441703
224441704 Jeleśnia Quick edit Valid 2013-05-30 224441704
224441705 Koszarawa Quick edit Valid 2013-05-30 224441705
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?