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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 1 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
110150602 Andrespol Quick edit Valid 2013-05-30 110150602
110150603 Brójce Quick edit Valid 2013-05-30 110150603
110150607 Koluszki Quick edit Valid 2013-05-30 110150607
110150608 Nowosolna Quick edit Valid 2013-05-30 110150608
110150610 Rzgów Quick edit Valid 2013-05-30 110150610
110150611 Tuszyn Quick edit Valid 2013-05-30 110150611
110150801 Konstantynów Łódzki Quick edit Valid 2013-05-30 110150801
110150802 Pabianice Quick edit Valid 2013-05-30 110150802
110150803 Dłutów Quick edit Valid 2013-05-30 110150803
110150804 Dobroń Quick edit Valid 2013-05-30 110150804
110150805 Ksawerów Quick edit Valid 2013-05-30 110150805
110150806 Lutomiersk Quick edit Valid 2013-05-30 110150806
110150807 Pabianice Quick edit Valid 2013-05-30 110150807
110152001 Głowno Quick edit Valid 2013-05-30 110152001
110152002 Ozorków Quick edit Valid 2013-05-30 110152002
110152003 Zgierz Quick edit Valid 2013-05-30 110152003
110152004 Aleksandrów Łódzki Quick edit Valid 2013-05-30 110152004
110152005 Głowno Quick edit Valid 2013-05-30 110152005
110152006 Ozorków Quick edit Valid 2013-05-30 110152006
110152007 Parzęczew Quick edit Valid 2013-05-30 110152007
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?