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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 341 to 360.First1415161718192021Last
Id Label Status Status Modified Notation
114270702 Głowaczów Quick edit Valid 2013-05-30 114270702
114270703 Gniewoszów Quick edit Valid 2013-05-30 114270703
114270704 Grabów nad Pilicą Quick edit Valid 2013-05-30 114270704
114270705 Kozienice Quick edit Valid 2013-05-30 114270705
114270706 Magnuszew Quick edit Valid 2013-05-30 114270706
114270707 Sieciechów Quick edit Valid 2013-05-30 114270707
114270901 Chotcza Quick edit Valid 2013-05-30 114270901
114270902 Ciepielów Quick edit Valid 2013-05-30 114270902
114270903 Lipsko Quick edit Valid 2013-05-30 114270903
114270904 Rzeczniów Quick edit Valid 2013-05-30 114270904
114270905 Sienno Quick edit Valid 2013-05-30 114270905
114270906 Solec nad Wisłą Quick edit Valid 2013-05-30 114270906
114272301 Borkowice Quick edit Valid 2013-05-30 114272301
114272302 Gielniów Quick edit Valid 2013-05-30 114272302
114272303 Klwów Quick edit Valid 2013-05-30 114272303
114272304 Odrzywół Quick edit Valid 2013-05-30 114272304
114272305 Potworów Quick edit Valid 2013-05-30 114272305
114272306 Przysucha Quick edit Valid 2013-05-30 114272306
114272307 Rusinów Quick edit Valid 2013-05-30 114272307
114272308 Wieniawa Quick edit Valid 2013-05-30 114272308
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?