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 11,101 to 11,120.First552553554555556557558559Last
Id Label Status Status Modified Notation
16075134 Remptendorf Quick edit Valid 2009-01-01 16075134
16075135 Saalburg-Ebersdorf, Stadt Quick edit Valid 2009-01-01 16075135
16076002 Auma, Stadt Quick edit Valid 2009-01-01 16076002
16076003 Bad Köstritz, Stadt Quick edit Valid 2009-01-01 16076003
16076004 Berga/Elster, Stadt Quick edit Valid 2009-01-01 16076004
16076006 Bethenhausen Quick edit Valid 2009-01-01 16076006
16076007 Bocka Quick edit Valid 2009-01-01 16076007
16076008 Brahmenau Quick edit Valid 2009-01-01 16076008
16076009 Braunichswalde Quick edit Valid 2009-01-01 16076009
16076011 Braunsdorf Quick edit Valid 2009-01-01 16076011
16076012 Caaschwitz Quick edit Valid 2009-01-01 16076012
16076014 Crimla Quick edit Valid 2009-01-01 16076014
16076017 Endschütz Quick edit Valid 2009-01-01 16076017
16076019 Gauern Quick edit Valid 2009-01-01 16076019
16076021 Göhren-Döhlen Quick edit Valid 2009-01-01 16076021
16076022 Greiz, Stadt Quick edit Valid 2009-01-01 16076022
16076023 Großenstein Quick edit Valid 2009-01-01 16076023
16076024 Hain Quick edit Valid 2009-01-01 16076024
16076026 Hartmannsdorf Quick edit Valid 2009-01-01 16076026
16076027 Hilbersdorf Quick edit Valid 2009-01-01 16076027
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?