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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 621 to 640.First2829303132333435Last
Id Label Status Status Modified Notation
01058071 Hamweddel Quick edit Valid 2009-01-01 01058071
01058072 Hanerau-Hademarschen Quick edit Valid 2009-01-01 01058072
01058073 Haßmoor Quick edit Valid 2009-01-01 01058073
01058074 Heinkenborstel Quick edit Valid 2009-01-01 01058074
01058075 Hörsten Quick edit Valid 2009-01-01 01058075
01058076 Hoffeld Quick edit Valid 2009-01-01 01058076
01058077 Hohenwestedt Quick edit Valid 2009-01-01 01058077
01058078 Hohn Quick edit Valid 2009-01-01 01058078
01058080 Holtsee Quick edit Valid 2009-01-01 01058080
01058081 Holzbunge Quick edit Valid 2009-01-01 01058081
01058082 Holzdorf Quick edit Valid 2009-01-01 01058082
01058083 Hütten Quick edit Valid 2009-01-01 01058083
01058084 Hummelfeld Quick edit Valid 2009-01-01 01058084
01058085 Jahrsdorf Quick edit Valid 2009-01-01 01058085
01058086 Jevenstedt Quick edit Valid 2009-01-01 01058086
01058087 Karby Quick edit Valid 2009-01-01 01058087
01058088 Klein Wittensee Quick edit Valid 2009-01-01 01058088
01058089 Königshügel Quick edit Valid 2009-01-01 01058089
01058090 Kosel Quick edit Valid 2009-01-01 01058090
01058091 Krogaspe Quick edit Valid 2009-01-01 01058091
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?