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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 1,761 to 1,780.First8586878889909192Last
Id Label Status Status Modified Notation
432630902 Biesiekierz Quick edit Valid 2013-05-30 432630902
432630903 Bobolice Quick edit Valid 2013-05-30 432630903
432630904 Manowo Quick edit Valid 2013-05-30 432630904
432630905 Mielno Quick edit Valid 2013-05-30 432630905
432630906 Polanów Quick edit Valid 2013-05-30 432630906
432630907 Sianów Quick edit Valid 2013-05-30 432630907
432630908 Świeszyno Quick edit Valid 2013-05-30 432630908
432631301 Darłowo Quick edit Valid 2013-05-30 432631301
432631302 Sławno Quick edit Valid 2013-05-30 432631302
432631303 Darłowo Quick edit Valid 2013-05-30 432631303
432631304 Malechowo Quick edit Valid 2013-05-30 432631304
432631305 Postomino Quick edit Valid 2013-05-30 432631305
432631306 Sławno Quick edit Valid 2013-05-30 432631306
432631501 Szczecinek Quick edit Valid 2010-01-01 432631501
432631502 Barwice Quick edit Valid 2013-05-30 432631502
432631503 Biały Bór Quick edit Valid 2013-05-30 432631503
432631504 Borne Sulinowo Quick edit Valid 2013-05-30 432631504
432631505 Grzmiąca Quick edit Valid 2013-05-30 432631505
432631506 Szczecinek Quick edit Valid 2010-01-01 432631506
432631601 Świdwin Quick edit Valid 2013-05-30 432631601
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?