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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 361 to 380.First1516171819202122Last
Id Label Status Status Modified Notation
114272501 Pionki Quick edit Valid 2013-05-30 114272501
114272502 Gózd Quick edit Valid 2013-05-30 114272502
114272503 Iłża Quick edit Valid 2013-05-30 114272503
114272504 Jastrzębia Quick edit Valid 2013-05-30 114272504
114272505 Jedlińsk Quick edit Valid 2013-05-30 114272505
114272506 Jedlnia-Letnisko Quick edit Valid 2013-05-30 114272506
114272507 Kowala Quick edit Valid 2013-05-30 114272507
114272508 Pionki Quick edit Valid 2013-05-30 114272508
114272509 Przytyk Quick edit Valid 2013-05-30 114272509
114272510 Skaryszew Quick edit Valid 2013-05-30 114272510
114272511 Wierzbica Quick edit Valid 2013-05-30 114272511
114272512 Wolanów Quick edit Valid 2013-05-30 114272512
114272513 Zakrzew Quick edit Valid 2013-05-30 114272513
114273001 Chlewiska Quick edit Valid 2013-05-30 114273001
114273002 Jastrząb Quick edit Valid 2013-05-30 114273002
114273003 Mirów Quick edit Valid 2013-05-30 114273003
114273004 Orońsko Quick edit Valid 2013-05-30 114273004
114273005 Szydłowiec Quick edit Valid 2013-05-30 114273005
114273601 Kazanów Quick edit Valid 2013-05-30 114273601
114273602 Policzna Quick edit Valid 2013-05-30 114273602
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?