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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
01060091 Traventhal Quick edit Valid 2009-01-01 01060091
01060092 Wahlstedt, Stadt Quick edit Valid 2009-01-01 01060092
01060093 Wakendorf I Quick edit Valid 2009-01-01 01060093
01060094 Wakendorf II Quick edit Valid 2009-01-01 01060094
01060095 Weddelbrook Quick edit Valid 2009-01-01 01060095
01060096 Weede Quick edit Valid 2009-01-01 01060096
01060097 Wensin Quick edit Valid 2009-01-01 01060097
01060098 Westerrade Quick edit Valid 2009-01-01 01060098
01060099 Wiemersdorf Quick edit Valid 2009-01-01 01060099
01060100 Winsen Quick edit Valid 2009-01-01 01060100
01060101 Wittenborn Quick edit Valid 2009-01-01 01060101
01061001 Aasbüttel Quick edit Valid 2009-01-01 01061001
01061002 Aebtissinwisch Quick edit Valid 2009-01-01 01061002
01061003 Agethorst Quick edit Valid 2009-01-01 01061003
01061004 Altenmoor Quick edit Valid 2009-01-01 01061004
01061005 Auufer Quick edit Valid 2009-01-01 01061005
01061006 Bahrenfleth Quick edit Valid 2009-01-01 01061006
01061007 Beidenfleth Quick edit Valid 2009-01-01 01061007
01061008 Bekdorf Quick edit Valid 2009-01-01 01061008
01061010 Bekmünde Quick edit Valid 2009-01-01 01061010
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?