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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 541 to 560.First2425262728293031Last
Id Label Status Status Modified Notation
01057076 Schwartbuck Quick edit Valid 2009-01-01 01057076
01057077 Selent Quick edit Valid 2009-01-01 01057077
01057078 Stakendorf Quick edit Valid 2009-01-01 01057078
01057079 Stein Quick edit Valid 2009-01-01 01057079
01057080 Stolpe Quick edit Valid 2009-01-01 01057080
01057081 Stoltenberg Quick edit Valid 2009-01-01 01057081
01057082 Tröndel Quick edit Valid 2009-01-01 01057082
01057083 Tasdorf Quick edit Valid 2009-01-01 01057083
01057084 Wahlstorf Quick edit Valid 2009-01-01 01057084
01057085 Wankendorf Quick edit Valid 2009-01-01 01057085
01057086 Warnau Quick edit Valid 2009-01-01 01057086
01057087 Wendtorf Quick edit Valid 2009-01-01 01057087
01057088 Wisch Quick edit Valid 2009-01-01 01057088
01057089 Wittmoldt Quick edit Valid 2013-05-29 01057089
01057090 Fargau-Pratjau Quick edit Valid 2009-01-01 01057090
01057091 Schwentinental, Stadt Quick edit Valid 2009-01-01 01057091
01058001 Achterwehr Quick edit Valid 2009-01-01 01058001
01058003 Alt Duvenstedt Quick edit Valid 2009-01-01 01058003
01058004 Altenhof Quick edit Valid 2009-01-01 01058004
01058005 Altenholz Quick edit Valid 2009-01-01 01058005
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?