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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
110190510 Zduny Quick edit Valid 2013-05-30 110190510
110191301 Rawa Mazowiecka Quick edit Valid 2010-01-01 110191301
110191302 Biała Rawska Quick edit Valid 2013-05-30 110191302
110191303 Cielądz Quick edit Valid 2013-05-30 110191303
110191304 Rawa Mazowiecka Quick edit Valid 2010-01-01 110191304
110191305 Regnów Quick edit Valid 2013-05-30 110191305
110191306 Sadkowice Quick edit Valid 2013-05-30 110191306
110191501 Bolimów Quick edit Valid 2013-05-30 110191501
110191502 Głuchów Quick edit Valid 2013-05-30 110191502
110191503 Godzianów Quick edit Valid 2013-05-30 110191503
110191504 Kowiesy Quick edit Valid 2013-05-30 110191504
110191505 Lipce Reymontowskie Quick edit Valid 2013-05-30 110191505
110191506 Maków Quick edit Valid 2013-05-30 110191506
110191507 Nowy Kawęczyn Quick edit Valid 2013-05-30 110191507
110191508 Skierniewice Quick edit Valid 2013-05-30 110191508
110191509 Słupia Quick edit Valid 2013-05-30 110191509
110196301 Skierniewice Quick edit Valid 2013-05-30 110196301
114250201 Ciechanów Quick edit Valid 2013-05-30 114250201
114250202 Ciechanów Quick edit Valid 2013-05-30 114250202
114250203 Glinojeck Quick edit Valid 2013-05-30 114250203
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?