You are here:
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 581 to 600.First2627282930313233Last
Id Label Status Status Modified Notation
01058029 Breiholz Quick edit Valid 2009-01-01 01058029
01058030 Brekendorf Quick edit Valid 2009-01-01 01058030
01058031 Brinjahe Quick edit Valid 2009-01-01 01058031
01058032 Brodersby Quick edit Valid 2009-01-01 01058032
01058033 Brügge Quick edit Valid 2009-01-01 01058033
01058034 Büdelsdorf, Stadt Quick edit Valid 2009-01-01 01058034
01058035 Bünsdorf Quick edit Valid 2009-01-01 01058035
01058036 Christiansholm Quick edit Valid 2009-01-01 01058036
01058037 Dänischenhagen Quick edit Valid 2009-01-01 01058037
01058038 Dätgen Quick edit Valid 2009-01-01 01058038
01058039 Damendorf Quick edit Valid 2009-01-01 01058039
01058040 Damp Quick edit Valid 2009-01-01 01058040
01058042 Dörphof Quick edit Valid 2009-01-01 01058042
01058043 Eckernförde, Stadt Quick edit Valid 2009-01-01 01058043
01058044 Ehndorf Quick edit Valid 2009-01-01 01058044
01058045 Eisendorf Quick edit Valid 2009-01-01 01058045
01058046 Ellerdorf Quick edit Valid 2009-01-01 01058046
01058047 Elsdorf-Westermühlen Quick edit Valid 2009-01-01 01058047
01058048 Embühren Quick edit Valid 2009-01-01 01058048
01058049 Emkendorf Quick edit Valid 2009-01-01 01058049
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?