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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 1,541 to 1,560.First7475767778798081Last
Id Label Status Status Modified Notation
430571203 Koźmin Wielkopolski Quick edit Valid 2013-05-30 430571203
430571204 Krotoszyn Quick edit Valid 2013-05-30 430571204
430571205 Rozdrażew Quick edit Valid 2013-05-30 430571205
430571206 Zduny Quick edit Valid 2013-05-30 430571206
430571701 Ostrów Wielkopolski Quick edit Valid 2013-05-30 430571701
430571702 Nowe Skalmierzyce Quick edit Valid 2013-05-30 430571702
430571703 Odolanów Quick edit Valid 2013-05-30 430571703
430571704 Ostrów Wielkopolski Quick edit Valid 2013-05-30 430571704
430571705 Przygodzice Quick edit Valid 2013-05-30 430571705
430571706 Raszków Quick edit Valid 2013-05-30 430571706
430571707 Sieroszewice Quick edit Valid 2013-05-30 430571707
430571708 Sośnie Quick edit Valid 2013-05-30 430571708
430571801 Czajków Quick edit Valid 2013-05-30 430571801
430571802 Doruchów Quick edit Valid 2013-05-30 430571802
430571803 Grabów nad Prosną Quick edit Valid 2013-05-30 430571803
430571804 Kobyla Góra Quick edit Valid 2013-05-30 430571804
430571805 Kraszewice Quick edit Valid 2013-05-30 430571805
430571806 Mikstat Quick edit Valid 2013-05-30 430571806
430571807 Ostrzeszów Quick edit Valid 2013-05-30 430571807
430572001 Chocz Quick edit Valid 2013-05-30 430572001
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?