You are here:
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 981 to 1,000.First4647484950515253Last
Id Label Status Status Modified Notation
306110908 Konopnica Quick edit Valid 2013-05-30 306110908
306110909 Krzczonów Quick edit Valid 2013-05-30 306110909
306110910 Niedrzwica Duża Quick edit Valid 2013-05-30 306110910
306110911 Niemce Quick edit Valid 2013-05-30 306110911
306110912 Strzyżewice Quick edit Valid 2013-05-30 306110912
306110913 Wojciechów Quick edit Valid 2013-05-30 306110913
306110914 Wólka Quick edit Valid 2013-05-30 306110914
306110915 Wysokie Quick edit Valid 2013-05-30 306110915
306110916 Zakrzew Quick edit Valid 2013-05-30 306110916
306111001 Cyców Quick edit Valid 2013-05-30 306111001
306111002 Ludwin Quick edit Valid 2013-05-30 306111002
306111003 Łęczna Quick edit Valid 2013-05-30 306111003
306111004 Milejów Quick edit Valid 2013-05-30 306111004
306111005 Puchaczów Quick edit Valid 2013-05-30 306111005
306111006 Spiczyn Quick edit Valid 2013-05-30 306111006
306111701 Świdnik Quick edit Valid 2013-05-30 306111701
306111702 Mełgiew Quick edit Valid 2013-05-30 306111702
306111703 Piaski Quick edit Valid 2013-05-30 306111703
306111704 Rybczewice Quick edit Valid 2013-05-30 306111704
306111705 Trawniki Quick edit Valid 2013-05-30 306111705
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?