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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 1,621 to 1,640.First7879808182838485Last
Id Label Status Status Modified Notation
430583003 Nekla Quick edit Valid 2013-05-30 430583003
430583004 Pyzdry Quick edit Valid 2013-05-30 430583004
430583005 Września Quick edit Valid 2013-05-30 430583005
430586201 Konin Quick edit Valid 2013-05-30 430586201
430590401 Borek Wielkopolski Quick edit Valid 2013-05-30 430590401
430590402 Gostyń Quick edit Valid 2013-05-30 430590402
430590403 Krobia Quick edit Valid 2013-05-30 430590403
430590404 Pępowo Quick edit Valid 2013-05-30 430590404
430590405 Piaski Quick edit Valid 2013-05-30 430590405
430590406 Pogorzela Quick edit Valid 2013-05-30 430590406
430590407 Poniec Quick edit Valid 2013-05-30 430590407
430590501 Granowo Quick edit Valid 2013-05-30 430590501
430590502 Grodzisk Wielkopolski Quick edit Valid 2013-05-30 430590502
430590503 Kamieniec Quick edit Valid 2013-05-30 430590503
430590504 Rakoniewice Quick edit Valid 2013-05-30 430590504
430590505 Wielichowo Quick edit Valid 2013-05-30 430590505
430591101 Kościan Quick edit Valid 2013-05-30 430591101
430591102 Czempiń Quick edit Valid 2013-05-30 430591102
430591103 Kościan Quick edit Valid 2013-05-30 430591103
430591104 Krzywiń Quick edit Valid 2013-05-30 430591104
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?