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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 11,081 to 11,100.First551552553554555556557558Last
Id Label Status Status Modified Notation
16075097 Schlegel Quick edit Valid 2009-01-01 16075097
16075098 Schleiz, Stadt Quick edit Valid 2009-01-01 16075098
16075099 Schmieritz Quick edit Valid 2009-01-01 16075099
16075101 Schmorda Quick edit Valid 2009-01-01 16075101
16075102 Schöndorf Quick edit Valid 2009-01-01 16075102
16075103 Seisla Quick edit Valid 2009-01-01 16075103
16075105 Solkwitz Quick edit Valid 2009-01-01 16075105
16075106 Stanau Quick edit Valid 2009-01-01 16075106
16075109 Tegau Quick edit Valid 2009-01-01 16075109
16075114 Tömmelsdorf Quick edit Valid 2009-01-01 16075114
16075116 Triptis, Stadt Quick edit Valid 2009-01-01 16075116
16075119 Volkmannsdorf Quick edit Valid 2009-01-01 16075119
16075121 Weira Quick edit Valid 2009-01-01 16075121
16075124 Wernburg Quick edit Valid 2009-01-01 16075124
16075125 Wilhelmsdorf Quick edit Valid 2009-01-01 16075125
16075127 Ziegenrück, Stadt Quick edit Valid 2009-01-01 16075127
16075129 Krölpa Quick edit Valid 2009-01-01 16075129
16075131 Gefell, Stadt Quick edit Valid 2009-01-01 16075131
16075132 Tanna, Stadt Quick edit Valid 2009-01-01 16075132
16075133 Wurzbach, Stadt Quick edit Valid 2009-01-01 16075133
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?