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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 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
224460411 Mykanów Quick edit Valid 2013-05-30 224460411
224460412 Olsztyn Quick edit Valid 2013-05-30 224460412
224460413 Poczesna Quick edit Valid 2013-05-30 224460413
224460414 Przyrów Quick edit Valid 2013-05-30 224460414
224460415 Rędziny Quick edit Valid 2013-05-30 224460415
224460416 Starcza Quick edit Valid 2013-05-30 224460416
224460601 Kłobuck Quick edit Valid 2013-05-30 224460601
224460602 Krzepice Quick edit Valid 2013-05-30 224460602
224460603 Lipie Quick edit Valid 2013-05-30 224460603
224460604 Miedźno Quick edit Valid 2013-05-30 224460604
224460605 Opatów Quick edit Valid 2013-05-30 224460605
224460606 Panki Quick edit Valid 2013-05-30 224460606
224460607 Popów Quick edit Valid 2013-05-30 224460607
224460608 Przystajń Quick edit Valid 2013-05-30 224460608
224460609 Wręczyca Wielka Quick edit Valid 2013-05-30 224460609
224460901 Myszków Quick edit Valid 2013-05-30 224460901
224460902 Koziegłowy Quick edit Valid 2013-05-30 224460902
224460903 Niegowa Quick edit Valid 2013-05-30 224460903
224460904 Poraj Quick edit Valid 2013-05-30 224460904
224460905 Żarki Quick edit Valid 2013-05-30 224460905
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?