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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 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
01059032 Geltorf Quick edit Valid 2009-01-01 01059032
01059033 Goltoft Quick edit Valid 2009-01-01 01059033
01059034 Grödersby Quick edit Valid 2009-01-01 01059034
01059035 Groß Rheide Quick edit Valid 2009-01-01 01059035
01059037 Havetoft Quick edit Valid 2009-01-01 01059037
01059038 Havetoftloit Quick edit Valid 2009-01-01 01059038
01059039 Hollingstedt Quick edit Valid 2009-01-01 01059039
01059041 Hüsby Quick edit Valid 2009-01-01 01059041
01059042 Idstedt Quick edit Valid 2009-01-01 01059042
01059043 Jagel Quick edit Valid 2009-01-01 01059043
01059044 Jübek Quick edit Valid 2009-01-01 01059044
01059045 Kappeln, Stadt Quick edit Valid 2009-01-01 01059045
01059047 Kiesby Quick edit Valid 2009-01-01 01059047
01059049 Klappholz Quick edit Valid 2009-01-01 01059049
01059050 Klein Bennebek Quick edit Valid 2009-01-01 01059050
01059051 Klein Rheide Quick edit Valid 2009-01-01 01059051
01059053 Kropp Quick edit Valid 2009-01-01 01059053
01059055 Loit Quick edit Valid 2009-01-01 01059055
01059056 Lottorf Quick edit Valid 2009-01-01 01059056
01059057 Lürschau Quick edit Valid 2009-01-01 01059057
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?