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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

2,479 concepts found, displaying 2,041 to 2,060.First99100101102103104105106Last
Id Label Status Status Modified Notation
516310701 Głuchołazy Quick edit Valid 2013-05-30 516310701
516310702 Kamiennik Quick edit Valid 2013-05-30 516310702
516310703 Korfantów Quick edit Valid 2013-05-30 516310703
516310704 Łambinowice Quick edit Valid 2013-05-30 516310704
516310705 Nysa Quick edit Valid 2013-05-30 516310705
516310706 Otmuchów Quick edit Valid 2013-05-30 516310706
516310707 Paczków Quick edit Valid 2013-05-30 516310707
516310708 Pakosławice Quick edit Valid 2013-05-30 516310708
516310709 Skoroszyce Quick edit Valid 2013-05-30 516310709
516311001 Biała Quick edit Valid 2013-05-30 516311001
516311002 Głogówek Quick edit Valid 2013-05-30 516311002
516311003 Lubrza Quick edit Valid 2013-05-30 516311003
516311004 Prudnik Quick edit Valid 2013-05-30 516311004
516320201 Baborów Quick edit Valid 2013-05-30 516320201
516320202 Branice Quick edit Valid 2013-05-30 516320202
516320203 Głubczyce Quick edit Valid 2013-05-30 516320203
516320204 Kietrz Quick edit Valid 2013-05-30 516320204
516320301 Kędzierzyn-Koźle Quick edit Valid 2013-05-30 516320301
516320302 Bierawa Quick edit Valid 2013-05-30 516320302
516320303 Cisek Quick edit Valid 2013-05-30 516320303
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?