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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 41 to 60.First12345678Last
Id Label Status Status Modified Notation
01051046 Helse Quick edit Valid 2009-01-01 01051046
01051047 Hemme Quick edit Valid 2009-01-01 01051047
01051048 Hemmingstedt Quick edit Valid 2009-01-01 01051048
01051049 Hennstedt Quick edit Valid 2009-01-01 01051049
01051050 Hillgroven Quick edit Valid 2009-01-01 01051050
01051051 Hochdonn Quick edit Valid 2009-01-01 01051051
01051052 Hövede Quick edit Valid 2009-01-01 01051052
01051053 Hollingstedt Quick edit Valid 2009-01-01 01051053
01051054 Immenstedt Quick edit Valid 2009-01-01 01051054
01051057 Kaiser-Wilhelm-Koog Quick edit Valid 2009-01-01 01051057
01051058 Karolinenkoog Quick edit Valid 2009-01-01 01051058
01051060 Kleve Quick edit Valid 2009-01-01 01051060
01051061 Krempel Quick edit Valid 2009-01-01 01051061
01051062 Kronprinzenkoog Quick edit Valid 2009-01-01 01051062
01051063 Krumstedt Quick edit Valid 2009-01-01 01051063
01051064 Kuden Quick edit Valid 2009-01-01 01051064
01051065 Lehe Quick edit Valid 2009-01-01 01051065
01051067 Lieth Quick edit Valid 2009-01-01 01051067
01051068 Linden Quick edit Valid 2009-01-01 01051068
01051069 Lohe-Rickelshof Quick edit Valid 2009-01-01 01051069
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?