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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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
306101811 Tomaszów Lubelski Quick edit Valid 2013-05-30 306101811
306101812 Tyszowce Quick edit Valid 2013-05-30 306101812
306101813 Ulhówek Quick edit Valid 2013-05-30 306101813
306102001 Adamów Quick edit Valid 2013-05-30 306102001
306102002 Grabowiec Quick edit Valid 2013-05-30 306102002
306102003 Komarów-Osada Quick edit Valid 2013-05-30 306102003
306102004 Krasnobród Quick edit Valid 2013-05-30 306102004
306102005 Łabunie Quick edit Valid 2013-05-30 306102005
306102006 Miączyn Quick edit Valid 2013-05-30 306102006
306102007 Nielisz Quick edit Valid 2013-05-30 306102007
306102008 Radecznica Quick edit Valid 2013-05-30 306102008
306102009 Sitno Quick edit Valid 2013-05-30 306102009
306102010 Skierbieszów Quick edit Valid 2013-05-30 306102010
306102011 Stary Zamość Quick edit Valid 2013-05-30 306102011
306102012 Sułów Quick edit Valid 2013-05-30 306102012
306102013 Szczebrzeszyn Quick edit Valid 2013-05-30 306102013
306102014 Zamość Quick edit Valid 2013-05-30 306102014
306102015 Zwierzyniec Quick edit Valid 2013-05-30 306102015
306106201 Chełm Quick edit Valid 2013-05-30 306106201
306106401 Zamość Quick edit Valid 2013-05-30 306106401
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?