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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 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
01053124 Stubben Quick edit Valid 2009-01-01 01053124
01053125 Talkau Quick edit Valid 2009-01-01 01053125
01053126 Tramm Quick edit Valid 2009-01-01 01053126
01053127 Walksfelde Quick edit Valid 2009-01-01 01053127
01053128 Wangelau Quick edit Valid 2009-01-01 01053128
01053129 Wentorf bei Hamburg Quick edit Valid 2009-01-01 01053129
01053130 Wentorf (Amt Sandesneben) Quick edit Valid 2009-01-01 01053130
01053131 Wiershop Quick edit Valid 2009-01-01 01053131
01053132 Witzeeze Quick edit Valid 2009-01-01 01053132
01053133 Wohltorf Quick edit Valid 2009-01-01 01053133
01053134 Woltersdorf Quick edit Valid 2009-01-01 01053134
01053135 Worth Quick edit Valid 2009-01-01 01053135
01053136 Ziethen Quick edit Valid 2009-01-01 01053136
01054001 Achtrup Quick edit Valid 2009-01-01 01054001
01054002 Ahrenshöft Quick edit Valid 2009-01-01 01054002
01054003 Ahrenviöl Quick edit Valid 2009-01-01 01054003
01054004 Ahrenviölfeld Quick edit Valid 2009-01-01 01054004
01054005 Alkersum Quick edit Valid 2009-01-01 01054005
01054006 Almdorf Quick edit Valid 2009-01-01 01054006
01054007 Arlewatt Quick edit Valid 2009-01-01 01054007
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?