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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 581 to 600.First2627282930313233Last
Id Label Status Status Modified Notation
DE21E Landsberg am Lech Quick edit Valid 2013-09-25 DE21E
DE21F Miesbach Quick edit Valid 2013-09-25 DE21F
DE21G Mühldorf am Inn Quick edit Valid 2013-09-25 DE21G
DE21H München, Landkreis Quick edit Valid 2013-09-25 DE21H
DE21I Neuburg-Schrobenhausen Quick edit Valid 2013-09-25 DE21I
DE21J Pfaffenhofen an der Ilm Quick edit Valid 2013-09-25 DE21J
DE21K Rosenheim, Landkreis Quick edit Valid 2013-09-25 DE21K
DE21L Starnberg Quick edit Valid 2013-09-25 DE21L
DE21M Traunstein Quick edit Valid 2013-09-25 DE21M
DE21N Weilheim-Schongau Quick edit Valid 2013-09-25 DE21N
DE22 Niederbayern Quick edit Valid 2013-09-25 DE22
DE221 Landshut, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE221
DE222 Passau, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE222
DE223 Straubing, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE223
DE224 Deggendorf Quick edit Valid 2013-09-25 DE224
DE225 Freyung-Grafenau Quick edit Valid 2013-09-25 DE225
DE226 Kelheim Quick edit Valid 2013-09-25 DE226
DE227 Landshut, Landkreis Quick edit Valid 2013-09-25 DE227
DE228 Passau, Landkreis Quick edit Valid 2013-09-25 DE228
DE229 Regen Quick edit Valid 2013-09-25 DE229
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?