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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
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  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

11,204 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
01054034 Friedrich-Wilhelm-Lübke-Koog Quick edit Valid 2009-01-01 01054034
01054035 Garding, Kirchspiel Quick edit Valid 2009-01-01 01054035
01054036 Garding, Stadt Quick edit Valid 2009-01-01 01054036
01054037 Goldebek Quick edit Valid 2009-01-01 01054037
01054038 Goldelund Quick edit Valid 2009-01-01 01054038
01054039 Gröde Quick edit Valid 2009-01-01 01054039
01054040 Grothusenkoog Quick edit Valid 2009-01-01 01054040
01054041 Haselund Quick edit Valid 2009-01-01 01054041
01054042 Hattstedt Quick edit Valid 2009-01-01 01054042
01054043 Hattstedtermarsch Quick edit Valid 2009-01-01 01054043
01054045 Högel Quick edit Valid 2009-01-01 01054045
01054046 Hörnum (Sylt) Quick edit Valid 2009-01-01 01054046
01054048 Holm Quick edit Valid 2009-01-01 01054048
01054050 Hallig Hooge Quick edit Valid 2009-01-01 01054050
01054052 Horstedt Quick edit Valid 2009-01-01 01054052
01054054 Hude Quick edit Valid 2009-01-01 01054054
01054055 Humptrup Quick edit Valid 2009-01-01 01054055
01054056 Husum, Stadt Quick edit Valid 2009-01-01 01054056
01054057 Immenstedt Quick edit Valid 2009-01-01 01054057
01054059 Joldelund Quick edit Valid 2009-01-01 01054059
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?