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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 1,261 to 1,280.First6061626364656667Last
Id Label Status Status Modified Notation
320380605 Stawiski Quick edit Valid 2013-05-30 320380605
320380606 Turośl Quick edit Valid 2013-05-30 320380606
320380701 Jedwabne Quick edit Valid 2013-05-30 320380701
320380702 Łomża Quick edit Valid 2013-05-30 320380702
320380703 Miastkowo Quick edit Valid 2013-05-30 320380703
320380704 Nowogród Quick edit Valid 2013-05-30 320380704
320380705 Piątnica Quick edit Valid 2013-05-30 320380705
320380706 Przytuły Quick edit Valid 2013-05-30 320380706
320380707 Śniadowo Quick edit Valid 2013-05-30 320380707
320380708 Wizna Quick edit Valid 2013-05-30 320380708
320380709 Zbójna Quick edit Valid 2013-05-30 320380709
320381001 Siemiatycze Quick edit Valid 2013-05-30 320381001
320381002 Drohiczyn Quick edit Valid 2013-05-30 320381002
320381003 Dziadkowice Quick edit Valid 2013-05-30 320381003
320381004 Grodzisk Quick edit Valid 2013-05-30 320381004
320381005 Mielnik Quick edit Valid 2013-05-30 320381005
320381006 Milejczyce Quick edit Valid 2013-05-30 320381006
320381007 Nurzec-Stacja Quick edit Valid 2013-05-30 320381007
320381008 Perlejewo Quick edit Valid 2013-05-30 320381008
320381009 Siemiatycze Quick edit Valid 2013-05-30 320381009
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?