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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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
01054061 Kampen (Sylt) Quick edit Valid 2009-01-01 01054061
01054062 Karlum Quick edit Valid 2009-01-01 01054062
01054063 Katharinenheerd Quick edit Valid 2009-01-01 01054063
01054065 Klanxbüll Quick edit Valid 2009-01-01 01054065
01054068 Klixbüll Quick edit Valid 2009-01-01 01054068
01054070 Koldenbüttel Quick edit Valid 2009-01-01 01054070
01054071 Kolkerheide Quick edit Valid 2009-01-01 01054071
01054072 Kotzenbüll Quick edit Valid 2009-01-01 01054072
01054073 Ladelund Quick edit Valid 2009-01-01 01054073
01054074 Langeneß Quick edit Valid 2009-01-01 01054074
01054075 Langenhorn Quick edit Valid 2009-01-01 01054075
01054076 Leck Quick edit Valid 2009-01-01 01054076
01054077 Lexgaard Quick edit Valid 2009-01-01 01054077
01054078 List Quick edit Valid 2009-01-01 01054078
01054079 Löwenstedt Quick edit Valid 2009-01-01 01054079
01054080 Lütjenholm Quick edit Valid 2009-01-01 01054080
01054083 Midlum Quick edit Valid 2009-01-01 01054083
01054084 Mildstedt Quick edit Valid 2009-01-01 01054084
01054085 Nebel Quick edit Valid 2009-01-01 01054085
01054086 Neukirchen Quick edit Valid 2009-01-01 01054086
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?