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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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
DEA35 Coesfeld Quick edit Valid 2013-09-25 DEA35
DEA36 Recklinghausen Quick edit Valid 2013-09-25 DEA36
DEA37 Steinfurt Quick edit Valid 2013-09-25 DEA37
DEA38 Warendorf Quick edit Valid 2013-09-25 DEA38
DEA4 Detmold Quick edit Valid 2013-09-25 DEA4
DEA41 Bielefeld, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA41
DEA42 Gütersloh Quick edit Valid 2013-09-25 DEA42
DEA43 Herford Quick edit Valid 2013-09-25 DEA43
DEA44 Höxter Quick edit Valid 2013-09-25 DEA44
DEA45 Lippe Quick edit Valid 2013-09-25 DEA45
DEA46 Minden-Lübbecke Quick edit Valid 2013-09-25 DEA46
DEA47 Paderborn Quick edit Valid 2013-09-25 DEA47
DEA5 Arnsberg Quick edit Valid 2013-09-25 DEA5
DEA51 Bochum, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA51
DEA52 Dortmund, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA52
DEA53 Hagen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA53
DEA54 Hamm, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA54
DEA55 Herne, Kreisfreie Stadt Quick edit Valid 2013-09-25 DEA55
DEA56 Ennepe-Ruhr-Kreis Quick edit Valid 2013-09-25 DEA56
DEA57 Hochsauerlandkreis Quick edit Valid 2013-09-25 DEA57
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?