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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 2,001 to 2,020.First979899100101102103104Last
Id Label Status Status Modified Notation
502041705 Wiązów Quick edit Valid 2013-05-30 502041705
502041801 Kostomłoty Quick edit Valid 2013-05-30 502041801
502041802 Malczyce Quick edit Valid 2013-05-30 502041802
502041803 Miękinia Quick edit Valid 2013-05-30 502041803
502041804 Środa Śląska Quick edit Valid 2013-05-30 502041804
502041805 Udanin Quick edit Valid 2013-05-30 502041805
502042001 Oborniki Śląskie Quick edit Valid 2013-05-30 502042001
502042002 Prusice Quick edit Valid 2013-05-30 502042002
502042003 Trzebnica Quick edit Valid 2013-05-30 502042003
502042004 Wisznia Mała Quick edit Valid 2013-05-30 502042004
502042005 Zawonia Quick edit Valid 2013-05-30 502042005
502042006 Żmigród Quick edit Valid 2013-05-30 502042006
502042201 Brzeg Dolny Quick edit Valid 2013-05-30 502042201
502042202 Wińsko Quick edit Valid 2013-05-30 502042202
502042203 Wołów Quick edit Valid 2013-05-30 502042203
502042301 Czernica Quick edit Valid 2013-05-30 502042301
502042302 Długołęka Quick edit Valid 2013-05-30 502042302
502042303 Jordanów Śląski Quick edit Valid 2013-05-30 502042303
502042304 Kąty Wrocławskie Quick edit Valid 2013-05-30 502042304
502042305 Kobierzyce Quick edit Valid 2013-05-30 502042305
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?