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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 2,021 to 2,040.First9899100101102103104105Last
Id Label Status Status Modified Notation
502042306 Mietków Quick edit Valid 2013-05-30 502042306
502042307 Sobótka Quick edit Valid 2013-05-30 502042307
502042308 Siechnice Quick edit Valid 2010-01-01 502042308
502042309 Żórawina Quick edit Valid 2013-05-30 502042309
502056401 Wrocław Quick edit Valid 2013-05-30 502056401
516310101 Brzeg Quick edit Valid 2013-05-30 516310101
516310102 Skarbimierz Quick edit Valid 2013-05-30 516310102
516310103 Grodków Quick edit Valid 2013-05-30 516310103
516310104 Lewin Brzeski Quick edit Valid 2013-05-30 516310104
516310105 Lubsza Quick edit Valid 2013-05-30 516310105
516310106 Olszanka Quick edit Valid 2013-05-30 516310106
516310401 Byczyna Quick edit Valid 2013-05-30 516310401
516310402 Kluczbork Quick edit Valid 2013-05-30 516310402
516310403 Lasowice Wielkie Quick edit Valid 2013-05-30 516310403
516310404 Wołczyn Quick edit Valid 2013-05-30 516310404
516310601 Domaszowice Quick edit Valid 2013-05-30 516310601
516310602 Namysłów Quick edit Valid 2013-05-30 516310602
516310603 Pokój Quick edit Valid 2013-05-30 516310603
516310604 Świerczów Quick edit Valid 2013-05-30 516310604
516310605 Wilków Quick edit Valid 2013-05-30 516310605
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?