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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 10,681 to 10,700.First531532533534535536537538Last
Id Label Status Status Modified Notation
16068023 Guthmannshausen Quick edit Valid 2009-01-01 16068023
16068024 Hardisleben Quick edit Valid 2009-01-01 16068024
16068025 Haßleben Quick edit Valid 2009-01-01 16068025
16068026 Henschleben Quick edit Valid 2009-01-01 16068026
16068027 Herrnschwende Quick edit Valid 2009-01-01 16068027
16068028 Kannawurf Quick edit Valid 2009-01-01 16068028
16068029 Kindelbrück, Stadt Quick edit Valid 2009-01-01 16068029
16068031 Kleinbrembach Quick edit Valid 2009-01-01 16068031
16068032 Kleinmölsen Quick edit Valid 2009-01-01 16068032
16068033 Kleinneuhausen Quick edit Valid 2009-01-01 16068033
16068034 Kölleda, Stadt Quick edit Valid 2009-01-01 16068034
16068035 Mannstedt Quick edit Valid 2009-01-01 16068035
16068036 Markvippach Quick edit Valid 2009-01-01 16068036
16068037 Nöda Quick edit Valid 2009-01-01 16068037
16068038 Olbersleben Quick edit Valid 2009-01-01 16068038
16068039 Ollendorf Quick edit Valid 2009-01-01 16068039
16068041 Ostramondra Quick edit Valid 2009-01-01 16068041
16068042 Rastenberg, Stadt Quick edit Valid 2009-01-01 16068042
16068043 Riethgen Quick edit Valid 2009-01-01 16068043
16068044 Riethnordhausen Quick edit Valid 2009-01-01 16068044
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?