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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 481 to 500.First2122232425262728Last
Id Label Status Status Modified Notation
01057010 Boksee Quick edit Valid 2009-01-01 01057010
01057011 Bothkamp Quick edit Valid 2009-01-01 01057011
01057012 Brodersdorf Quick edit Valid 2009-01-01 01057012
01057013 Dannau Quick edit Valid 2009-01-01 01057013
01057015 Dersau Quick edit Valid 2013-05-29 01057015
01057016 Dobersdorf Quick edit Valid 2009-01-01 01057016
01057017 Dörnick Quick edit Valid 2013-05-29 01057017
01057018 Fahren Quick edit Valid 2009-01-01 01057018
01057020 Fiefbergen Quick edit Valid 2009-01-01 01057020
01057021 Giekau Quick edit Valid 2009-01-01 01057021
01057022 Grebin Quick edit Valid 2013-05-29 01057022
01057023 Großbarkau Quick edit Valid 2009-01-01 01057023
01057024 Großharrie Quick edit Valid 2009-01-01 01057024
01057025 Heikendorf Quick edit Valid 2009-01-01 01057025
01057026 Helmstorf Quick edit Valid 2009-01-01 01057026
01057027 Högsdorf Quick edit Valid 2009-01-01 01057027
01057028 Höhndorf Quick edit Valid 2009-01-01 01057028
01057029 Hohenfelde Quick edit Valid 2009-01-01 01057029
01057030 Hohwacht (Ostsee) Quick edit Valid 2009-01-01 01057030
01057031 Honigsee Quick edit Valid 2009-01-01 01057031
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?