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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 621 to 640.First2829303132333435Last
Id Label Status Status Modified Notation
DE246 Bayreuth, Landkreis Quick edit Valid 2013-09-25 DE246
DE247 Coburg, Landkreis Quick edit Valid 2013-09-25 DE247
DE248 Forchheim Quick edit Valid 2013-09-25 DE248
DE249 Hof, Landkreis Quick edit Valid 2013-09-25 DE249
DE24A Kronach Quick edit Valid 2013-09-25 DE24A
DE24B Kulmbach Quick edit Valid 2013-09-25 DE24B
DE24C Lichtenfels Quick edit Valid 2013-09-25 DE24C
DE24D Wunsiedel im Fichtelgebirge Quick edit Valid 2013-09-25 DE24D
DE25 Mittelfranken Quick edit Valid 2013-09-25 DE25
DE251 Ansbach, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE251
DE252 Erlangen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE252
DE253 Fürth, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE253
DE254 Nürnberg, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE254
DE255 Schwabach, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE255
DE256 Ansbach, Landkreis Quick edit Valid 2013-09-25 DE256
DE257 Erlangen-Höchstadt Quick edit Valid 2013-09-25 DE257
DE258 Fürth, Landkreis Quick edit Valid 2013-09-25 DE258
DE259 Nürnberger Land Quick edit Valid 2013-09-25 DE259
DE25A Neustadt an der Aisch-Bad Windsheim Quick edit Valid 2013-09-25 DE25A
DE25B Roth Quick edit Valid 2013-09-25 DE25B
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?