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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 11,001 to 11,020.First547548549550551552553554Last
Id Label Status Status Modified Notation
16074085 Schlöben Quick edit Valid 2009-01-01 16074085
16074086 Schöngleina Quick edit Valid 2009-01-01 16074086
16074087 Schöps Quick edit Valid 2009-01-01 16074087
16074089 Seitenroda Quick edit Valid 2009-01-01 16074089
16074091 Serba Quick edit Valid 2009-01-01 16074091
16074092 Silbitz Quick edit Valid 2009-01-01 16074092
16074093 St.Gangloff Quick edit Valid 2009-01-01 16074093
16074094 Stadtroda, Stadt Quick edit Valid 2009-01-01 16074094
16074095 Sulza Quick edit Valid 2009-01-01 16074095
16074096 Tautenburg Quick edit Valid 2009-01-01 16074096
16074097 Tautendorf Quick edit Valid 2009-01-01 16074097
16074098 Tautenhain Quick edit Valid 2009-01-01 16074098
16074099 Thierschneck Quick edit Valid 2009-01-01 16074099
16074101 Tissa Quick edit Valid 2009-01-01 16074101
16074102 Trockenborn-Wolfersdorf Quick edit Valid 2009-01-01 16074102
16074103 Tröbnitz Quick edit Valid 2009-01-01 16074103
16074104 Unterbodnitz Quick edit Valid 2009-01-01 16074104
16074105 Waldeck Quick edit Valid 2009-01-01 16074105
16074106 Walpernhain Quick edit Valid 2009-01-01 16074106
16074107 Waltersdorf Quick edit Valid 2009-01-01 16074107
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?