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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 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
01058155 Stafstedt Quick edit Valid 2009-01-01 01058155
01058156 Steenfeld Quick edit Valid 2009-01-01 01058156
01058157 Strande Quick edit Valid 2009-01-01 01058157
01058158 Tackesdorf Quick edit Valid 2009-01-01 01058158
01058159 Tappendorf Quick edit Valid 2009-01-01 01058159
01058160 Techelsdorf Quick edit Valid 2009-01-01 01058160
01058161 Thaden Quick edit Valid 2009-01-01 01058161
01058162 Thumby Quick edit Valid 2009-01-01 01058162
01058163 Timmaspe Quick edit Valid 2009-01-01 01058163
01058164 Todenbüttel Quick edit Valid 2009-01-01 01058164
01058165 Tüttendorf Quick edit Valid 2009-01-01 01058165
01058166 Waabs Quick edit Valid 2009-01-01 01058166
01058167 Wapelfeld Quick edit Valid 2009-01-01 01058167
01058168 Warder Quick edit Valid 2009-01-01 01058168
01058169 Wasbek Quick edit Valid 2009-01-01 01058169
01058170 Wattenbek Quick edit Valid 2009-01-01 01058170
01058171 Westensee Quick edit Valid 2009-01-01 01058171
01058172 Westerrönfeld Quick edit Valid 2009-01-01 01058172
01058173 Windeby Quick edit Valid 2009-01-01 01058173
01058174 Winnemark Quick edit Valid 2009-01-01 01058174
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?