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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 821 to 840.First3839404142434445Last
Id Label Status Status Modified Notation
01059138 Langstedt Quick edit Valid 2009-01-01 01059138
01059141 Maasbüll Quick edit Valid 2009-01-01 01059141
01059142 Maasholm Quick edit Valid 2009-01-01 01059142
01059143 Medelby Quick edit Valid 2009-01-01 01059143
01059144 Meyn Quick edit Valid 2009-01-01 01059144
01059145 Munkbrarup Quick edit Valid 2009-01-01 01059145
01059147 Nieby Quick edit Valid 2009-01-01 01059147
01059148 Niesgrau Quick edit Valid 2009-01-01 01059148
01059149 Nordhackstedt Quick edit Valid 2009-01-01 01059149
01059151 Osterby Quick edit Valid 2009-01-01 01059151
01059152 Pommerby Quick edit Valid 2009-01-01 01059152
01059153 Quern Quick edit Valid 2009-01-01 01059153
01059154 Rabel Quick edit Valid 2009-01-01 01059154
01059155 Rabenholz Quick edit Valid 2009-01-01 01059155
01059157 Ringsberg Quick edit Valid 2009-01-01 01059157
01059158 Schafflund Quick edit Valid 2009-01-01 01059158
01059159 Sieverstedt Quick edit Valid 2009-01-01 01059159
01059161 Sörup Quick edit Valid 2009-01-01 01059161
01059162 Sollerup Quick edit Valid 2009-01-01 01059162
01059163 Stangheck Quick edit Valid 2009-01-01 01059163
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?