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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,981 to 3,000.First146147148149150151152153Last
Id Label Status Status Modified Notation
PL713 Piotrkowski Quick edit Valid 2018-02-07 PL713
PL714 Sieradzki Quick edit Valid 2018-02-07 PL714
PL715 Skierniewicki Quick edit Valid 2018-02-07 PL715
PL72 Swietokrzyskie Quick edit Valid 2018-02-07 PL72
PL721 Kielecki Quick edit Valid 2018-02-07 PL721
PL722 Sandomiersko-jedrzejowski Quick edit Valid 2018-02-07 PL722
PL8 Makroregion Wschodni Quick edit Valid 2018-02-07 PL8
PL81 Lubelskie Quick edit Valid 2018-02-07 PL81
PL811 Bialski Quick edit Valid 2018-02-07 PL811
PL812 Chelmsko-zamojski Quick edit Valid 2018-02-07 PL812
PL814 Lubelski Quick edit Valid 2018-02-07 PL814
PL815 Pulawski Quick edit Valid 2018-02-07 PL815
PL82 Podkarpackie Quick edit Valid 2018-02-07 PL82
PL821 Krosnienski Quick edit Valid 2018-02-07 PL821
PL822 Przemyski Quick edit Valid 2018-02-07 PL822
PL823 Rzeszowski Quick edit Valid 2018-02-07 PL823
PL824 Tarnobrzeski Quick edit Valid 2018-02-07 PL824
PL84 Podlaskie Quick edit Valid 2018-02-07 PL84
PL841 Bialostocki Quick edit Valid 2018-02-07 PL841
PL842 Lomzynski Quick edit Valid 2018-02-07 PL842
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?