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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 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
430592203 Miejska Górka Quick edit Valid 2013-05-30 430592203
430592204 Pakosław Quick edit Valid 2013-05-30 430592204
430592205 Rawicz Quick edit Valid 2013-05-30 430592205
430592901 Przemęt Quick edit Valid 2013-05-30 430592901
430592902 Siedlec Quick edit Valid 2013-05-30 430592902
430592903 Wolsztyn Quick edit Valid 2013-05-30 430592903
430596301 Leszno Quick edit Valid 2013-05-30 430596301
430600101 Chodzież Quick edit Valid 2013-05-30 430600101
430600102 Budzyń Quick edit Valid 2013-05-30 430600102
430600103 Chodzież Quick edit Valid 2013-05-30 430600103
430600104 Margonin Quick edit Valid 2013-05-30 430600104
430600105 Szamocin Quick edit Valid 2013-05-30 430600105
430600201 Czarnków Quick edit Valid 2013-05-30 430600201
430600202 Czarnków Quick edit Valid 2013-05-30 430600202
430600203 Drawsko Quick edit Valid 2013-05-30 430600203
430600204 Krzyż Wielkopolski Quick edit Valid 2013-05-30 430600204
430600205 Lubasz Quick edit Valid 2013-05-30 430600205
430600206 Połajewo Quick edit Valid 2013-05-30 430600206
430600207 Trzcianka Quick edit Valid 2013-05-30 430600207
430600208 Wieleń Quick edit Valid 2013-05-30 430600208
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?