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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 1,041 to 1,060.First4950515253545556Last
Id Label Status Status Modified Notation
306121405 Końskowola Quick edit Valid 2013-05-30 306121405
306121406 Kurów Quick edit Valid 2013-05-30 306121406
306121407 Markuszów Quick edit Valid 2013-05-30 306121407
306121408 Nałęczów Quick edit Valid 2013-05-30 306121408
306121409 Puławy Quick edit Valid 2013-05-30 306121409
306121410 Wąwolnica Quick edit Valid 2013-05-30 306121410
306121411 Żyrzyn Quick edit Valid 2013-05-30 306121411
306121601 Dęblin Quick edit Valid 2013-05-30 306121601
306121602 Kłoczew Quick edit Valid 2013-05-30 306121602
306121603 Nowodwór Quick edit Valid 2013-05-30 306121603
306121604 Ryki Quick edit Valid 2013-05-30 306121604
306121605 Stężyca Quick edit Valid 2013-05-30 306121605
306121606 Ułęż Quick edit Valid 2013-05-30 306121606
318330103 Czarna Quick edit Valid 2013-05-30 318330103
318330105 Lutowiska Quick edit Valid 2013-05-30 318330105
318330108 Ustrzyki Dolne Quick edit Valid 2013-05-30 318330108
318330201 Brzozów Quick edit Valid 2013-05-30 318330201
318330202 Domaradz Quick edit Valid 2013-05-30 318330202
318330203 Dydnia Quick edit Valid 2013-05-30 318330203
318330204 Haczów Quick edit Valid 2013-05-30 318330204
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?