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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
110190209 Oporów Quick edit Valid 2013-05-30 110190209
110190210 Strzelce Quick edit Valid 2013-05-30 110190210
110190211 Żychlin Quick edit Valid 2013-05-30 110190211
110190401 Łęczyca Quick edit Valid 2013-05-30 110190401
110190402 Daszyna Quick edit Valid 2013-05-30 110190402
110190403 Góra Świętej Małgorzaty Quick edit Valid 2013-05-30 110190403
110190404 Grabów Quick edit Valid 2013-05-30 110190404
110190405 Łęczyca Quick edit Valid 2013-05-30 110190405
110190406 Piątek Quick edit Valid 2013-05-30 110190406
110190407 Świnice Warckie Quick edit Valid 2013-05-30 110190407
110190408 Witonia Quick edit Valid 2013-05-30 110190408
110190501 Łowicz Quick edit Valid 2013-05-30 110190501
110190502 Bielawy Quick edit Valid 2013-05-30 110190502
110190503 Chąśno Quick edit Valid 2013-05-30 110190503
110190504 Domaniewice Quick edit Valid 2013-05-30 110190504
110190505 Kiernozia Quick edit Valid 2013-05-30 110190505
110190506 Kocierzew Południowy Quick edit Valid 2013-05-30 110190506
110190507 Łowicz Quick edit Valid 2013-05-30 110190507
110190508 Łyszkowice Quick edit Valid 2013-05-30 110190508
110190509 Nieborów Quick edit Valid 2013-05-30 110190509
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?