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

11,204 concepts found, displaying 10,961 to 10,980.First545546547548549550551552Last
Id Label Status Status Modified Notation
16074037 Hainspitz Quick edit Valid 2009-01-01 16074037
16074038 Hartmannsdorf Quick edit Valid 2009-01-01 16074038
16074039 Heideland Quick edit Valid 2009-01-01 16074039
16074041 Hermsdorf, Stadt Quick edit Valid 2009-01-01 16074041
16074042 Hummelshain Quick edit Valid 2009-01-01 16074042
16074043 Jenalöbnitz Quick edit Valid 2009-01-01 16074043
16074044 Kahla, Stadt Quick edit Valid 2009-01-01 16074044
16074045 Karlsdorf Quick edit Valid 2009-01-01 16074045
16074046 Kleinbockedra Quick edit Valid 2009-01-01 16074046
16074047 Kleinebersdorf Quick edit Valid 2009-01-01 16074047
16074048 Kleineutersdorf Quick edit Valid 2009-01-01 16074048
16074049 Laasdorf Quick edit Valid 2009-01-01 16074049
16074051 Lehesten Quick edit Valid 2009-01-01 16074051
16074052 Lindig Quick edit Valid 2009-01-01 16074052
16074053 Lippersdorf-Erdmannsdorf Quick edit Valid 2009-01-01 16074053
16074054 Löberschütz Quick edit Valid 2009-01-01 16074054
16074055 Mertendorf Quick edit Valid 2009-01-01 16074055
16074056 Meusebach Quick edit Valid 2009-01-01 16074056
16074057 Milda Quick edit Valid 2009-01-01 16074057
16074058 Möckern Quick edit Valid 2009-01-01 16074058
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?