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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 10,281 to 10,300.First511512513514515516517518Last
Id Label Status Status Modified Notation
16061031 Ferna Quick edit Valid 2009-01-01 16061031
16061032 Freienhagen Quick edit Valid 2009-01-01 16061032
16061033 Fretterode Quick edit Valid 2009-01-01 16061033
16061034 Geisleden Quick edit Valid 2009-01-01 16061034
16061035 Geismar Quick edit Valid 2009-01-01 16061035
16061036 Gerbershausen Quick edit Valid 2009-01-01 16061036
16061037 Gernrode Quick edit Valid 2009-01-01 16061037
16061038 Gerterode Quick edit Valid 2009-01-01 16061038
16061039 Glasehausen Quick edit Valid 2009-01-01 16061039
16061041 Großbartloff Quick edit Valid 2009-01-01 16061041
16061042 Großbodungen Quick edit Valid 2009-01-01 16061042
16061043 Hausen Quick edit Valid 2009-01-01 16061043
16061044 Haynrode Quick edit Valid 2009-01-01 16061044
16061045 Heilbad Heiligenstadt, Stadt Quick edit Valid 2009-01-01 16061045
16061046 Helmsdorf Quick edit Valid 2009-01-01 16061046
16061047 Heuthen Quick edit Valid 2009-01-01 16061047
16061048 Hohengandern Quick edit Valid 2009-01-01 16061048
16061049 Hohes Kreuz Quick edit Valid 2009-01-01 16061049
16061051 Holungen Quick edit Valid 2009-01-01 16061051
16061052 Hundeshagen Quick edit Valid 2009-01-01 16061052
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?