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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 1,301 to 1,320.First6263646566676869Last
Id Label Status Status Modified Notation
320390105 Nowinka Quick edit Valid 2013-05-30 320390105
320390106 Płaska Quick edit Valid 2013-05-30 320390106
320390107 Sztabin Quick edit Valid 2013-05-30 320390107
320390401 Grajewo Quick edit Valid 2013-05-30 320390401
320390402 Grajewo Quick edit Valid 2013-05-30 320390402
320390403 Radziłów Quick edit Valid 2013-05-30 320390403
320390404 Rajgród Quick edit Valid 2013-05-30 320390404
320390405 Szczuczyn Quick edit Valid 2013-05-30 320390405
320390406 Wąsosz Quick edit Valid 2013-05-30 320390406
320390801 Goniądz Quick edit Valid 2013-05-30 320390801
320390802 Jasionówka Quick edit Valid 2013-05-30 320390802
320390803 Jaświły Quick edit Valid 2013-05-30 320390803
320390804 Knyszyn Quick edit Valid 2013-05-30 320390804
320390805 Krypno Quick edit Valid 2013-05-30 320390805
320390806 Mońki Quick edit Valid 2013-05-30 320390806
320390807 Trzcianne Quick edit Valid 2013-05-30 320390807
320390901 Sejny Quick edit Valid 2013-05-30 320390901
320390902 Giby Quick edit Valid 2013-05-30 320390902
320390903 Krasnopol Quick edit Valid 2013-05-30 320390903
320390904 Puńsk Quick edit Valid 2013-05-30 320390904
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?