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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 10,081 to 10,100.First501502503504505506507508Last
Id Label Status Status Modified Notation
15087075 Bornstedt Quick edit Valid 2010-01-01 15087075
15087101 Brücken-Hackpfüffel Quick edit Valid 2010-01-01 15087101
15087110 Dederstedt Quick edit Valid 2010-01-01 15087110
15087125 Edersleben Quick edit Valid 2010-01-01 15087125
15087130 Eisleben, Lutherstadt Quick edit Valid 2010-01-01 15087130
15087145 Freist Quick edit Valid 2010-01-01 15087145
15087150 Friedeburg (Saale) Quick edit Valid 2010-01-01 15087150
15087165 Gerbstedt, Stadt Quick edit Valid 2010-01-01 15087165
15087200 Heiligenthal Quick edit Valid 2010-01-01 15087200
15087205 Helbra Quick edit Valid 2010-01-01 15087205
15087210 Hergisdorf Quick edit Valid 2010-01-01 15087210
15087220 Hettstedt, Stadt Quick edit Valid 2013-05-29 15087220
15087250 Kelbra (Kyffhäuser), Stadt Quick edit Valid 2010-01-01 15087250
15087260 Klostermansfeld Quick edit Valid 2010-01-01 15087260
15087275 Mansfeld, Stadt Quick edit Valid 2009-01-01 15087275
15087335 Ritterode Quick edit Valid 2013-05-29 15087335
15087370 Sangerhausen, Stadt Quick edit Valid 2009-01-01 15087370
15087386 Seegebiet Mansfelder Land Quick edit Valid 2010-01-01 15087386
15087410 Stolberg (Harz), Stadt Quick edit Valid 2010-01-01 15087410
15087412 Südharz Quick edit Valid 2010-01-01 15087412
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?