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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 521 to 540.First2324252627282930Last
Id Label Status Status Modified Notation
01057053 Nehmten Quick edit Valid 2013-05-29 01057053
01057054 Nettelsee Quick edit Valid 2009-01-01 01057054
01057055 Panker Quick edit Valid 2009-01-01 01057055
01057056 Passade Quick edit Valid 2009-01-01 01057056
01057057 Plön, Stadt Quick edit Valid 2009-01-01 01057057
01057058 Pohnsdorf Quick edit Valid 2009-01-01 01057058
01057059 Postfeld Quick edit Valid 2009-01-01 01057059
01057060 Prasdorf Quick edit Valid 2009-01-01 01057060
01057062 Preetz, Stadt Quick edit Valid 2009-01-01 01057062
01057063 Probsteierhagen Quick edit Valid 2009-01-01 01057063
01057065 Rantzau Quick edit Valid 2013-05-29 01057065
01057066 Rastorf Quick edit Valid 2009-01-01 01057066
01057067 Rathjensdorf Quick edit Valid 2013-05-29 01057067
01057068 Rendswühren Quick edit Valid 2009-01-01 01057068
01057069 Ruhwinkel Quick edit Valid 2009-01-01 01057069
01057070 Schellhorn Quick edit Valid 2009-01-01 01057070
01057071 Schillsdorf Quick edit Valid 2009-01-01 01057071
01057072 Schlesen Quick edit Valid 2009-01-01 01057072
01057073 Schönberg (Holstein) Quick edit Valid 2009-01-01 01057073
01057074 Schönkirchen Quick edit Valid 2009-01-01 01057074
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?