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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 841 to 860.First3940414243444546Last
Id Label Status Status Modified Notation
01059164 Steinberg Quick edit Valid 2009-01-01 01059164
01059165 Steinbergkirche Quick edit Valid 2009-01-01 01059165
01059167 Sterup Quick edit Valid 2009-01-01 01059167
01059168 Stoltebüll Quick edit Valid 2009-01-01 01059168
01059169 Süderhackstedt Quick edit Valid 2009-01-01 01059169
01059171 Tarp Quick edit Valid 2009-01-01 01059171
01059173 Wallsbüll Quick edit Valid 2009-01-01 01059173
01059174 Wanderup Quick edit Valid 2009-01-01 01059174
01059176 Wees Quick edit Valid 2009-01-01 01059176
01059177 Weesby Quick edit Valid 2009-01-01 01059177
01059178 Westerholz Quick edit Valid 2009-01-01 01059178
01059179 Lindewitt Quick edit Valid 2009-01-01 01059179
01059182 Freienwill Quick edit Valid 2009-01-01 01059182
01059183 Handewitt Quick edit Valid 2009-01-01 01059183
01059184 Oeversee Quick edit Valid 2009-01-01 01059184
01060002 Alveslohe Quick edit Valid 2009-01-01 01060002
01060003 Armstedt Quick edit Valid 2009-01-01 01060003
01060004 Bad Bramstedt, Stadt Quick edit Valid 2009-01-01 01060004
01060005 Bad Segeberg, Stadt Quick edit Valid 2009-01-01 01060005
01060006 Bahrenhof Quick edit Valid 2009-01-01 01060006
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?