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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 1,601 to 1,620.First7778798081828384Last
Id Label Status Status Modified Notation
430581014 Wilczyn Quick edit Valid 2013-05-30 430581014
430582301 Słupca Quick edit Valid 2013-05-30 430582301
430582302 Lądek Quick edit Valid 2013-05-30 430582302
430582303 Orchowo Quick edit Valid 2013-05-30 430582303
430582304 Ostrowite Quick edit Valid 2013-05-30 430582304
430582305 Powidz Quick edit Valid 2013-05-30 430582305
430582306 Słupca Quick edit Valid 2013-05-30 430582306
430582307 Strzałkowo Quick edit Valid 2013-05-30 430582307
430582308 Zagórów Quick edit Valid 2013-05-30 430582308
430582701 Turek Quick edit Valid 2013-05-30 430582701
430582702 Brudzew Quick edit Valid 2013-05-30 430582702
430582703 Dobra Quick edit Valid 2013-05-30 430582703
430582704 Kawęczyn Quick edit Valid 2013-05-30 430582704
430582705 Malanów Quick edit Valid 2013-05-30 430582705
430582706 Przykona Quick edit Valid 2013-05-30 430582706
430582707 Tuliszków Quick edit Valid 2013-05-30 430582707
430582708 Turek Quick edit Valid 2013-05-30 430582708
430582709 Władysławów Quick edit Valid 2013-05-30 430582709
430583001 Kołaczkowo Quick edit Valid 2013-05-30 430583001
430583002 Miłosław Quick edit Valid 2013-05-30 430583002
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?