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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 601 to 620.First2728293031323334Last
Id Label Status Status Modified Notation
01058050 Felde Quick edit Valid 2009-01-01 01058050
01058051 Felm Quick edit Valid 2009-01-01 01058051
01058052 Fleckeby Quick edit Valid 2009-01-01 01058052
01058053 Flintbek Quick edit Valid 2009-01-01 01058053
01058054 Fockbek Quick edit Valid 2009-01-01 01058054
01058055 Friedrichsgraben Quick edit Valid 2009-01-01 01058055
01058056 Friedrichsholm Quick edit Valid 2009-01-01 01058056
01058057 Gammelby Quick edit Valid 2009-01-01 01058057
01058058 Gettorf Quick edit Valid 2009-01-01 01058058
01058059 Gnutz Quick edit Valid 2009-01-01 01058059
01058061 Gokels Quick edit Valid 2009-01-01 01058061
01058062 Grauel Quick edit Valid 2009-01-01 01058062
01058063 Grevenkrug Quick edit Valid 2009-01-01 01058063
01058064 Groß Buchwald Quick edit Valid 2009-01-01 01058064
01058065 Groß Vollstedt Quick edit Valid 2009-01-01 01058065
01058066 Groß Wittensee Quick edit Valid 2009-01-01 01058066
01058067 Güby Quick edit Valid 2009-01-01 01058067
01058068 Haale Quick edit Valid 2009-01-01 01058068
01058069 Haby Quick edit Valid 2009-01-01 01058069
01058070 Hamdorf Quick edit Valid 2009-01-01 01058070
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?