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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 1,721 to 1,740.First8384858687888990Last
Id Label Status Status Modified Notation
430612114 Stęszew Quick edit Valid 2013-05-30 430612114
430612115 Suchy Las Quick edit Valid 2013-05-30 430612115
430612116 Swarzędz Quick edit Valid 2013-05-30 430612116
430612117 Tarnowo Podgórne Quick edit Valid 2013-05-30 430612117
430612401 Obrzycko Quick edit Valid 2013-05-30 430612401
430612402 Duszniki Quick edit Valid 2013-05-30 430612402
430612403 Kaźmierz Quick edit Valid 2013-05-30 430612403
430612404 Obrzycko Quick edit Valid 2013-05-30 430612404
430612405 Ostroróg Quick edit Valid 2013-05-30 430612405
430612406 Pniewy Quick edit Valid 2013-05-30 430612406
430612407 Szamotuły Quick edit Valid 2013-05-30 430612407
430612408 Wronki Quick edit Valid 2013-05-30 430612408
430612501 Dominowo Quick edit Valid 2013-05-30 430612501
430612502 Krzykosy Quick edit Valid 2013-05-30 430612502
430612503 Nowe Miasto nad Wartą Quick edit Valid 2013-05-30 430612503
430612504 Środa Wielkopolska Quick edit Valid 2013-05-30 430612504
430612505 Zaniemyśl Quick edit Valid 2013-05-30 430612505
430612601 Brodnica Quick edit Valid 2013-05-30 430612601
430612602 Dolsk Quick edit Valid 2013-05-30 430612602
430612603 Książ Wielkopolski Quick edit Valid 2013-05-30 430612603
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?