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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 2,061 to 2,080.First100101102103104105106107Last
Id Label Status Status Modified Notation
516320304 Pawłowiczki Quick edit Valid 2013-05-30 516320304
516320305 Polska Cerekiew Quick edit Valid 2013-05-30 516320305
516320306 Reńska Wieś Quick edit Valid 2013-05-30 516320306
516320501 Gogolin Quick edit Valid 2013-05-30 516320501
516320502 Krapkowice Quick edit Valid 2013-05-30 516320502
516320503 Strzeleczki Quick edit Valid 2013-05-30 516320503
516320504 Walce Quick edit Valid 2013-05-30 516320504
516320505 Zdzieszowice Quick edit Valid 2013-05-30 516320505
516320801 Dobrodzień Quick edit Valid 2013-05-30 516320801
516320802 Gorzów Śląski Quick edit Valid 2013-05-30 516320802
516320803 Olesno Quick edit Valid 2013-05-30 516320803
516320804 Praszka Quick edit Valid 2013-05-30 516320804
516320805 Radłów Quick edit Valid 2013-05-30 516320805
516320806 Rudniki Quick edit Valid 2013-05-30 516320806
516320807 Zębowice Quick edit Valid 2013-05-30 516320807
516320901 Chrząstowice Quick edit Valid 2013-05-30 516320901
516320902 Dąbrowa Quick edit Valid 2013-05-30 516320902
516320903 Dobrzeń Wielki Quick edit Valid 2013-05-30 516320903
516320904 Komprachcice Quick edit Valid 2013-05-30 516320904
516320905 Łubniany Quick edit Valid 2013-05-30 516320905
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?