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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: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 961 to 980.First4546474849505152Last
Id Label Status Status Modified Notation
DEC0 Saarland Quick edit Valid 2013-09-25 DEC0
DEC01 Regionalverband Saarbrücken Quick edit Valid 2013-09-25 DEC01
DEC02 Merzig-Wadern Quick edit Valid 2013-09-25 DEC02
DEC03 Neunkirchen Quick edit Valid 2013-09-25 DEC03
DEC04 Saarlouis Quick edit Valid 2013-09-25 DEC04
DEC05 Saarpfalz-Kreis Quick edit Valid 2013-09-25 DEC05
DEC06 St. Wendel Quick edit Valid 2013-09-25 DEC06
DED Sachsen Quick edit Valid 2013-09-25 DED
DED1 Chemnitz (NUTS 2006) Quick edit Valid 2013-09-25 DED1
DED11 Chemnitz, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DED11
DED12 Plauen, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DED12
DED13 Zwickau, Kreisfreie Stadt (NUTS 2006) Quick edit Valid 2013-09-25 DED13
DED14 Annaberg (NUTS 2006) Quick edit Valid 2013-09-25 DED14
DED15 Chemnitzer Land (NUTS 2006) Quick edit Valid 2013-09-25 DED15
DED16 Freiberg (NUTS 2006) Quick edit Valid 2013-09-25 DED16
DED17 Vogtlandkreis (NUTS 2006) Quick edit Valid 2013-09-25 DED17
DED18 Mittlerer Erzgebirgskreis (NUTS 2006) Quick edit Valid 2013-09-25 DED18
DED19 Mittweida (NUTS 2006) Quick edit Valid 2013-09-25 DED19
DED1A Stollberg (NUTS 2006) Quick edit Valid 2013-09-25 DED1A
DED1B Aue-Schwarzenberg (NUTS 2006) Quick edit Valid 2013-09-25 DED1B
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?