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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 41 to 60.First12345678Last
Id Label Status Status Modified Notation
110170705 Paradyż Quick edit Valid 2013-05-30 110170705
110170706 Poświętne Quick edit Valid 2013-05-30 110170706
110170707 Sławno Quick edit Valid 2013-05-30 110170707
110170708 Żarnów Quick edit Valid 2013-05-30 110170708
110171001 Aleksandrów Quick edit Valid 2013-05-30 110171001
110171002 Czarnocin Quick edit Valid 2013-05-30 110171002
110171003 Gorzkowice Quick edit Valid 2013-05-30 110171003
110171004 Grabica Quick edit Valid 2013-05-30 110171004
110171005 Łęki Szlacheckie Quick edit Valid 2013-05-30 110171005
110171006 Moszczenica Quick edit Valid 2013-05-30 110171006
110171007 Ręczno Quick edit Valid 2013-05-30 110171007
110171008 Rozprza Quick edit Valid 2013-05-30 110171008
110171009 Sulejów Quick edit Valid 2013-05-30 110171009
110171010 Wola Krzysztoporska Quick edit Valid 2013-05-30 110171010
110171011 Wolbórz Quick edit Valid 2013-05-30 110171011
110171201 Radomsko Quick edit Valid 2013-05-30 110171201
110171202 Dobryszyce Quick edit Valid 2013-05-30 110171202
110171203 Gidle Quick edit Valid 2013-05-30 110171203
110171204 Gomunice Quick edit Valid 2013-05-30 110171204
110171205 Kamieńsk Quick edit Valid 2013-05-30 110171205
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?