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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 1,501 to 1,520.First7273747576777879Last
Id Label Status Status Modified Notation
408141008 Wymiarki Quick edit Valid 2013-05-30 408141008
408141009 Żagań Quick edit Valid 2013-05-30 408141009
408141101 Łęknica Quick edit Valid 2013-05-30 408141101
408141102 Żary Quick edit Valid 2013-05-30 408141102
408141103 Brody Quick edit Valid 2013-05-30 408141103
408141104 Jasień Quick edit Valid 2013-05-30 408141104
408141105 Lipinki Łużyckie Quick edit Valid 2013-05-30 408141105
408141106 Lubsko Quick edit Valid 2013-05-30 408141106
408141107 Przewóz Quick edit Valid 2013-05-30 408141107
408141108 Trzebiel Quick edit Valid 2013-05-30 408141108
408141109 Tuplice Quick edit Valid 2013-05-30 408141109
408141110 Żary Quick edit Valid 2013-05-30 408141110
408141201 Sława Quick edit Valid 2013-05-30 408141201
408141202 Szlichtyngowa Quick edit Valid 2013-05-30 408141202
408141203 Wschowa Quick edit Valid 2013-05-30 408141203
408146201 Zielona Góra Quick edit Valid 2013-05-30 408146201
430570601 Jaraczewo Quick edit Valid 2013-05-30 430570601
430570602 Jarocin Quick edit Valid 2013-05-30 430570602
430570603 Kotlin Quick edit Valid 2013-05-30 430570603
430570604 Żerków Quick edit Valid 2013-05-30 430570604
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?