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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 681 to 700.First3132333435363738Last
Id Label Status Status Modified Notation
01058134 Remmels Quick edit Valid 2009-01-01 01058134
01058135 Rendsburg, Stadt Quick edit Valid 2009-01-01 01058135
01058136 Rickert Quick edit Valid 2009-01-01 01058136
01058137 Rieseby Quick edit Valid 2009-01-01 01058137
01058138 Rodenbek Quick edit Valid 2009-01-01 01058138
01058139 Rumohr Quick edit Valid 2009-01-01 01058139
01058140 Schacht-Audorf Quick edit Valid 2009-01-01 01058140
01058141 Schierensee Quick edit Valid 2009-01-01 01058141
01058142 Schinkel Quick edit Valid 2009-01-01 01058142
01058143 Schmalstede Quick edit Valid 2009-01-01 01058143
01058144 Schönbek Quick edit Valid 2009-01-01 01058144
01058145 Schönhorst Quick edit Valid 2009-01-01 01058145
01058146 Schülldorf Quick edit Valid 2009-01-01 01058146
01058147 Schülp b. Nortorf Quick edit Valid 2009-01-01 01058147
01058148 Schülp b. Rendsburg Quick edit Valid 2009-01-01 01058148
01058150 Schwedeneck Quick edit Valid 2009-01-01 01058150
01058151 Seefeld Quick edit Valid 2009-01-01 01058151
01058152 Sehestedt Quick edit Valid 2009-01-01 01058152
01058153 Sören Quick edit Valid 2009-01-01 01058153
01058154 Sophienhamm Quick edit Valid 2009-01-01 01058154
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?