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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 761 to 780.First3536373839404142Last
Id Label Status Status Modified Notation
224466401 Częstochowa Quick edit Valid 2013-05-30 224466401
224470501 Knurów Quick edit Valid 2013-05-30 224470501
224470502 Pyskowice Quick edit Valid 2013-05-30 224470502
224470503 Gierałtowice Quick edit Valid 2013-05-30 224470503
224470504 Pilchowice Quick edit Valid 2013-05-30 224470504
224470505 Rudziniec Quick edit Valid 2013-05-30 224470505
224470506 Sośnicowice Quick edit Valid 2013-05-30 224470506
224470507 Toszek Quick edit Valid 2013-05-30 224470507
224470508 Wielowieś Quick edit Valid 2013-05-30 224470508
224476601 Gliwice Quick edit Valid 2013-05-30 224476601
224477801 Zabrze Quick edit Valid 2013-05-30 224477801
224486301 Chorzów Quick edit Valid 2013-05-30 224486301
224486901 Katowice Quick edit Valid 2013-05-30 224486901
224487001 Mysłowice Quick edit Valid 2013-05-30 224487001
224487201 Ruda Śląska Quick edit Valid 2013-05-30 224487201
224487401 Siemianowice Śląskie Quick edit Valid 2013-05-30 224487401
224487601 Świętochłowice Quick edit Valid 2013-05-30 224487601
224491101 Racibórz Quick edit Valid 2013-05-30 224491101
224491102 Kornowac Quick edit Valid 2013-05-30 224491102
224491103 Krzanowice Quick edit Valid 2013-05-30 224491103
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?