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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 10,481 to 10,500.First521522523524525526527528Last
Id Label Status Status Modified Notation
16064062 Tottleben Quick edit Valid 2009-01-01 16064062
16064064 Urleben Quick edit Valid 2009-01-01 16064064
16064065 Weberstedt Quick edit Valid 2009-01-01 16064065
16064066 Weinbergen Quick edit Valid 2009-01-01 16064066
16064069 Katharinenberg Quick edit Valid 2009-01-01 16064069
16064071 Unstruttal Quick edit Valid 2009-01-01 16064071
16064072 Menteroda Quick edit Valid 2009-01-01 16064072
16064073 Anrode Quick edit Valid 2009-01-01 16064073
16065001 Abtsbessingen Quick edit Valid 2009-01-01 16065001
16065002 Artern/Unstrut, Stadt Quick edit Valid 2009-01-01 16065002
16065003 Bad Frankenhausen/Kyffhäuser, Stadt Quick edit Valid 2009-01-01 16065003
16065004 Badra Quick edit Valid 2009-01-01 16065004
16065005 Bellstedt Quick edit Valid 2009-01-01 16065005
16065006 Bendeleben Quick edit Valid 2009-01-01 16065006
16065008 Borxleben Quick edit Valid 2009-01-01 16065008
16065011 Bretleben Quick edit Valid 2009-01-01 16065011
16065012 Clingen, Stadt Quick edit Valid 2009-01-01 16065012
16065013 Donndorf Quick edit Valid 2009-01-01 16065013
16065014 Ebeleben, Stadt Quick edit Valid 2009-01-01 16065014
16065016 Etzleben Quick edit Valid 2009-01-01 16065016
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?