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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 10,401 to 10,420.First517518519520521522523524Last
Id Label Status Status Modified Notation
16063029 Frauensee Quick edit Valid 2009-01-01 16063029
16063032 Geisa, Stadt Quick edit Valid 2009-01-01 16063032
16063033 Gerstengrund Quick edit Valid 2009-01-01 16063033
16063036 Großensee Quick edit Valid 2009-01-01 16063036
16063037 Hallungen Quick edit Valid 2009-01-01 16063037
16063039 Ifta Quick edit Valid 2009-01-01 16063039
16063041 Immelborn Quick edit Valid 2009-01-01 16063041
16063043 Kaltenlengsfeld Quick edit Valid 2009-01-01 16063043
16063044 Kaltennordheim, Stadt Quick edit Valid 2009-01-01 16063044
16063045 Klings Quick edit Valid 2009-01-01 16063045
16063046 Krauthausen Quick edit Valid 2009-01-01 16063046
16063049 Lauterbach Quick edit Valid 2009-01-01 16063049
16063051 Leimbach Quick edit Valid 2009-01-01 16063051
16063052 Marksuhl Quick edit Valid 2009-01-01 16063052
16063053 Martinroda Quick edit Valid 2009-01-01 16063053
16063054 Merkers-Kieselbach Quick edit Valid 2009-01-01 16063054
16063055 Mihla Quick edit Valid 2009-01-01 16063055
16063058 Nazza Quick edit Valid 2009-01-01 16063058
16063059 Neidhartshausen Quick edit Valid 2009-01-01 16063059
16063062 Oechsen Quick edit Valid 2009-01-01 16063062
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?