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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 781 to 800.First3637383940414243Last
Id Label Status Status Modified Notation
01059081 Stolk Quick edit Valid 2009-01-01 01059081
01059082 Struxdorf Quick edit Valid 2009-01-01 01059082
01059083 Süderbrarup Quick edit Valid 2009-01-01 01059083
01059084 Süderfahrenstedt Quick edit Valid 2009-01-01 01059084
01059085 Süderstapel Quick edit Valid 2009-01-01 01059085
01059086 Taarstedt Quick edit Valid 2009-01-01 01059086
01059087 Tetenhusen Quick edit Valid 2009-01-01 01059087
01059088 Tielen Quick edit Valid 2009-01-01 01059088
01059090 Tolk Quick edit Valid 2009-01-01 01059090
01059092 Treia Quick edit Valid 2009-01-01 01059092
01059093 Ülsby Quick edit Valid 2009-01-01 01059093
01059094 Ulsnis Quick edit Valid 2009-01-01 01059094
01059095 Wagersrott Quick edit Valid 2009-01-01 01059095
01059096 Wohlde Quick edit Valid 2009-01-01 01059096
01059097 Twedt Quick edit Valid 2009-01-01 01059097
01059098 Nübel Quick edit Valid 2009-01-01 01059098
01059101 Tastrup Quick edit Valid 2009-01-01 01059101
01059102 Ahneby Quick edit Valid 2009-01-01 01059102
01059103 Ausacker Quick edit Valid 2009-01-01 01059103
01059105 Böxlund Quick edit Valid 2009-01-01 01059105
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?