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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 341 to 360.First1415161718192021Last
Id Label Status Status Modified Notation
01054109 Risum-Lindholm Quick edit Valid 2009-01-01 01054109
01054110 Rodenäs Quick edit Valid 2009-01-01 01054110
01054113 Sankt Peter-Ording Quick edit Valid 2009-01-01 01054113
01054116 Schwabstedt Quick edit Valid 2009-01-01 01054116
01054118 Schwesing Quick edit Valid 2009-01-01 01054118
01054119 Seeth Quick edit Valid 2009-01-01 01054119
01054120 Simonsberg Quick edit Valid 2009-01-01 01054120
01054121 Sönnebüll Quick edit Valid 2009-01-01 01054121
01054123 Sollwitt Quick edit Valid 2009-01-01 01054123
01054124 Sprakebüll Quick edit Valid 2009-01-01 01054124
01054125 Stadum Quick edit Valid 2009-01-01 01054125
01054126 Stedesand Quick edit Valid 2009-01-01 01054126
01054128 Struckum Quick edit Valid 2009-01-01 01054128
01054129 Süderende Quick edit Valid 2009-01-01 01054129
01054130 Süderhöft Quick edit Valid 2009-01-01 01054130
01054131 Süderlügum Quick edit Valid 2009-01-01 01054131
01054132 Südermarsch Quick edit Valid 2009-01-01 01054132
01054134 Tating Quick edit Valid 2009-01-01 01054134
01054135 Tetenbüll Quick edit Valid 2009-01-01 01054135
01054136 Tinningstedt Quick edit Valid 2009-01-01 01054136
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?