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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 1,361 to 1,380.First6566676869707172Last
Id Label Status Status Modified Notation
326520703 Bodzechów Quick edit Valid 2013-05-30 326520703
326520704 Ćmielów Quick edit Valid 2013-05-30 326520704
326520705 Kunów Quick edit Valid 2013-05-30 326520705
326520706 Waśniów Quick edit Valid 2013-05-30 326520706
326521001 Skarżysko-Kamienna Quick edit Valid 2013-05-30 326521001
326521002 Bliżyn Quick edit Valid 2013-05-30 326521002
326521003 Łączna Quick edit Valid 2013-05-30 326521003
326521004 Skarżysko Kościelne Quick edit Valid 2013-05-30 326521004
326521005 Suchedniów Quick edit Valid 2013-05-30 326521005
326521101 Starachowice Quick edit Valid 2013-05-30 326521101
326521102 Brody Quick edit Valid 2013-05-30 326521102
326521103 Mirzec Quick edit Valid 2013-05-30 326521103
326521104 Pawłów Quick edit Valid 2013-05-30 326521104
326521105 Wąchock Quick edit Valid 2013-05-30 326521105
326526101 Kielce Quick edit Valid 2013-05-30 326526101
326530101 Busko-Zdrój Quick edit Valid 2013-05-30 326530101
326530102 Gnojno Quick edit Valid 2013-05-30 326530102
326530103 Nowy Korczyn Quick edit Valid 2013-05-30 326530103
326530104 Pacanów Quick edit Valid 2013-05-30 326530104
326530105 Solec-Zdrój Quick edit Valid 2013-05-30 326530105
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?