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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 1,161 to 1,180.First5556575859606162Last
Id Label Status Status Modified Notation
318351608 Kamień Quick edit Valid 2013-05-30 318351608
318351609 Krasne Quick edit Valid 2013-05-30 318351609
318351610 Lubenia Quick edit Valid 2013-05-30 318351610
318351611 Sokołów Małopolski Quick edit Valid 2013-05-30 318351611
318351612 Świlcza Quick edit Valid 2013-05-30 318351612
318351613 Trzebownisko Quick edit Valid 2013-05-30 318351613
318351614 Tyczyn Quick edit Valid 2010-01-01 318351614
318351901 Czudec Quick edit Valid 2013-05-30 318351901
318351902 Frysztak Quick edit Valid 2013-05-30 318351902
318351903 Niebylec Quick edit Valid 2013-05-30 318351903
318351904 Strzyżów Quick edit Valid 2013-05-30 318351904
318351905 Wiśniowa Quick edit Valid 2013-05-30 318351905
318356301 Rzeszów Quick edit Valid 2010-01-01 318356301
318360301 Dębica Quick edit Valid 2013-05-30 318360301
318360302 Brzostek Quick edit Valid 2013-05-30 318360302
318360303 Czarna Quick edit Valid 2013-05-30 318360303
318360304 Dębica Quick edit Valid 2013-05-30 318360304
318360305 Jodłowa Quick edit Valid 2013-05-30 318360305
318360306 Pilzno Quick edit Valid 2013-05-30 318360306
318360307 Żyraków Quick edit Valid 2013-05-30 318360307
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?