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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

11,204 concepts found, displaying 11,141 to 11,160.First554555556557558559560561Last
Id Label Status Status Modified Notation
16076059 Reichstädt Quick edit Valid 2009-01-01 16076059
16076061 Ronneburg, Stadt Quick edit Valid 2009-01-01 16076061
16076062 Rückersdorf Quick edit Valid 2009-01-01 16076062
16076064 Saara Quick edit Valid 2009-01-01 16076064
16076065 Schömberg Quick edit Valid 2009-01-01 16076065
16076067 Schwaara Quick edit Valid 2009-01-01 16076067
16076068 Schwarzbach Quick edit Valid 2009-01-01 16076068
16076069 Seelingstädt Quick edit Valid 2009-01-01 16076069
16076071 Silberfeld Quick edit Valid 2009-01-01 16076071
16076072 Staitz Quick edit Valid 2009-01-01 16076072
16076073 Steinsdorf Quick edit Valid 2009-01-01 16076073
16076074 Teichwitz Quick edit Valid 2009-01-01 16076074
16076075 Teichwolframsdorf Quick edit Valid 2009-01-01 16076075
16076079 Weida, Stadt Quick edit Valid 2009-01-01 16076079
16076081 Weißendorf Quick edit Valid 2009-01-01 16076081
16076082 Wiebelsdorf Quick edit Valid 2009-01-01 16076082
16076083 Wildetaube Quick edit Valid 2009-01-01 16076083
16076084 Wünschendorf/Elster Quick edit Valid 2009-01-01 16076084
16076085 Zadelsdorf Quick edit Valid 2009-01-01 16076085
16076086 Zedlitz Quick edit Valid 2009-01-01 16076086
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?