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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 541 to 560.First2425262728293031Last
Id Label Status Status Modified Notation
212201902 Gdów Quick edit Valid 2013-05-30 212201902
212201903 Kłaj Quick edit Valid 2013-05-30 212201903
212201904 Niepołomice Quick edit Valid 2013-05-30 212201904
212201905 Wieliczka Quick edit Valid 2013-05-30 212201905
212216101 Kraków Quick edit Valid 2013-05-30 212216101
212220501 Gorlice Quick edit Valid 2013-05-30 212220501
212220502 Biecz Quick edit Valid 2013-05-30 212220502
212220503 Bobowa Quick edit Valid 2013-05-30 212220503
212220504 Gorlice Quick edit Valid 2013-05-30 212220504
212220505 Lipinki Quick edit Valid 2013-05-30 212220505
212220506 Łużna Quick edit Valid 2013-05-30 212220506
212220507 Moszczenica Quick edit Valid 2013-05-30 212220507
212220508 Ropa Quick edit Valid 2013-05-30 212220508
212220509 Sękowa Quick edit Valid 2013-05-30 212220509
212220510 Uście Gorlickie Quick edit Valid 2013-05-30 212220510
212220701 Limanowa Quick edit Valid 2013-05-30 212220701
212220702 Mszana Dolna Quick edit Valid 2013-05-30 212220702
212220703 Dobra Quick edit Valid 2013-05-30 212220703
212220704 Jodłownik Quick edit Valid 2013-05-30 212220704
212220705 Kamienica Quick edit Valid 2013-05-30 212220705
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?