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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 10,861 to 10,880.First540541542543544545546547Last
Id Label Status Status Modified Notation
16071077 Rannstedt Quick edit Valid 2009-01-01 16071077
16071078 Reisdorf Quick edit Valid 2009-01-01 16071078
16071079 Rittersdorf Quick edit Valid 2009-01-01 16071079
16071081 Rohrbach Quick edit Valid 2009-01-01 16071081
16071082 Sachsenhausen Quick edit Valid 2009-01-01 16071082
16071083 Schmiedehausen Quick edit Valid 2009-01-01 16071083
16071085 Schwerstedt Quick edit Valid 2009-01-01 16071085
16071087 Tonndorf Quick edit Valid 2009-01-01 16071087
16071088 Troistedt Quick edit Valid 2009-01-01 16071088
16071089 Umpferstedt Quick edit Valid 2009-01-01 16071089
16071092 Vippachedelhausen Quick edit Valid 2009-01-01 16071092
16071093 Vollersroda Quick edit Valid 2009-01-01 16071093
16071094 Wickerstedt Quick edit Valid 2009-01-01 16071094
16071095 Wiegendorf Quick edit Valid 2009-01-01 16071095
16071096 Willerstedt Quick edit Valid 2009-01-01 16071096
16071097 Wohlsborn Quick edit Valid 2009-01-01 16071097
16071099 Saaleplatte Quick edit Valid 2009-01-01 16071099
16072001 Bachfeld Quick edit Valid 2009-01-01 16072001
16072002 Effelder-Rauenstein Quick edit Valid 2009-01-01 16072002
16072005 Föritz Quick edit Valid 2009-01-01 16072005
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?